this.image.width / number yields 0

this.image.width / number yields 0 - javascript

I'm trying to calculate the width of a sprite using the image width, but the number always comes out as 0, why is that?
function SpriteSheet(image, numFramesX, numFramesY, totalFrames) {
this.image = image;
this.numFramesX = numFramesX;
this.numFramesY = numFramesY;
this.totalFrames = totalFrames;
this.spriteWidth = this.image.width / this.numFramesX;
this.spriteHeight = this.image.height / this.numFramesY;
}
image.onload = function() {
console.log('Image has been loaded');
}
image.src = 'dance.png';
spritesheet = new SpriteSheet(image, 8, 10, 80);
spritesheet.spriteWidth and spritesheet.spriteHeight always yields 0. I cornered the problem to 'this.image.width' since it works if I put in the width of the image manually.
this.spriteWidth = 880 / this.numFramesX;
instead of
this.spriteWidth = this.image.width / this.numFramesX;
It also works if I calculate it using the object in the console:
spritesheet.image.width / spritesheet.numFramesX
yields 110
jsfiddle

How about that?
window.onload = function () {
console.log('Image has been loaded');
image.src = 'dance.png';
spritesheet = new SpriteSheet(image, 8, 10, 80);
}

Related

Compress and upload multiple images [duplicate]

TL;DR;
Is there a way to compress an image (mostly jpeg, png and gif) directly browser-side, before uploading it ? I'm pretty sure JavaScript can do this, but I can't find a way to achieve it.
Here's the full scenario I would like to implement:
the user goes to my website, and choose an image via an input type="file" element,
this image is retrieved via JavaScript, we do some verification such as correct file format, maximum file size etc,
if every thing is OK, a preview of the image is displayed on the page,
the user can do some basic operations such as rotate the image by 90°/-90°, crop it following a pre-defined ratio, etc, or the user can upload another image and return to step 1,
when the user is satisfied, the edited image is then compressed and "saved" locally (not saved to a file, but in the browser memory/page),-
the user fill a form with data like name, age etc,
the user click on the "Finish" button, then the form containing datas + compressed image is sent to the server (without AJAX),
The full process up to the last step should be done client side, and should be compatible on latest Chrome and Firefox, Safari 5+ and IE 8+. If possible, only JavaScript should be used (but I'm pretty sure this is not possible).
I've not code anything right now, but I've thought about it already. File reading locally is possible via File API, image previewing and editing could be done using Canvas element, but I can't find a way to do the image compression part.
According to html5please.com and caniuse.com, supporting those browser is quite hard (thanks to IE), but could be done using polyfill such as FlashCanvas and FileReader.
Actually, the goal is to reduce file size, so I see image compression as a solution. But, I know that uploaded images are going to be displayed on my website, every time at the same place, and I know the dimension of this display area (eg. 200x400). So, I could resize the image to fit those dimensions, thus reducing file size. I have no idea what would be the compression ratio for this technique.
What do you think ? Do you have any advice to tell me ? Do you know any way to compress an image browser-side in JavaScript ? Thanks for your replies.

In short:
Read the files using the HTML5 FileReader API with .readAsArrayBuffer
Create a Blob with the file data and get its url with window.URL.createObjectURL(blob)
Create new Image element and set it's src to the file blob url
Send the image to the canvas. The canvas size is set to desired output size
Get the scaled-down data back from canvas via canvas.toDataURL("image/jpeg",0.7) (set your own output format and quality)
Attach new hidden inputs to the original form and transfer the dataURI images basically as normal text
On backend, read the dataURI, decode from Base64, and save it
Source: code.

I see two things missing from the other answers:
canvas.toBlob (when available) is more performant than canvas.toDataURL, and also async.
the file -> image -> canvas -> file conversion loses EXIF data; in particular, data about image rotation commonly set by modern phones/tablets.
The following script deals with both points:
// From https://developer.mozilla.org/en-US/docs/Web/API/HTMLCanvasElement/toBlob, needed for Safari:
if (!HTMLCanvasElement.prototype.toBlob) {
Object.defineProperty(HTMLCanvasElement.prototype, 'toBlob', {
value: function(callback, type, quality) {
var binStr = atob(this.toDataURL(type, quality).split(',')[1]),
len = binStr.length,
arr = new Uint8Array(len);
for (var i = 0; i < len; i++) {
arr[i] = binStr.charCodeAt(i);
}
callback(new Blob([arr], {type: type || 'image/png'}));
}
});
}
window.URL = window.URL || window.webkitURL;
// Modified from https://stackoverflow.com/a/32490603, cc by-sa 3.0
// -2 = not jpeg, -1 = no data, 1..8 = orientations
function getExifOrientation(file, callback) {
// Suggestion from http://code.flickr.net/2012/06/01/parsing-exif-client-side-using-javascript-2/:
if (file.slice) {
file = file.slice(0, 131072);
} else if (file.webkitSlice) {
file = file.webkitSlice(0, 131072);
}
var reader = new FileReader();
reader.onload = function(e) {
var view = new DataView(e.target.result);
if (view.getUint16(0, false) != 0xFFD8) {
callback(-2);
return;
}
var length = view.byteLength, offset = 2;
while (offset < length) {
var marker = view.getUint16(offset, false);
offset += 2;
if (marker == 0xFFE1) {
if (view.getUint32(offset += 2, false) != 0x45786966) {
callback(-1);
return;
}
var little = view.getUint16(offset += 6, false) == 0x4949;
offset += view.getUint32(offset + 4, little);
var tags = view.getUint16(offset, little);
offset += 2;
for (var i = 0; i < tags; i++)
if (view.getUint16(offset + (i * 12), little) == 0x0112) {
callback(view.getUint16(offset + (i * 12) + 8, little));
return;
}
}
else if ((marker & 0xFF00) != 0xFF00) break;
else offset += view.getUint16(offset, false);
}
callback(-1);
};
reader.readAsArrayBuffer(file);
}
// Derived from https://stackoverflow.com/a/40867559, cc by-sa
function imgToCanvasWithOrientation(img, rawWidth, rawHeight, orientation) {
var canvas = document.createElement('canvas');
if (orientation > 4) {
canvas.width = rawHeight;
canvas.height = rawWidth;
} else {
canvas.width = rawWidth;
canvas.height = rawHeight;
}
if (orientation > 1) {
console.log("EXIF orientation = " + orientation + ", rotating picture");
}
var ctx = canvas.getContext('2d');
switch (orientation) {
case 2: ctx.transform(-1, 0, 0, 1, rawWidth, 0); break;
case 3: ctx.transform(-1, 0, 0, -1, rawWidth, rawHeight); break;
case 4: ctx.transform(1, 0, 0, -1, 0, rawHeight); break;
case 5: ctx.transform(0, 1, 1, 0, 0, 0); break;
case 6: ctx.transform(0, 1, -1, 0, rawHeight, 0); break;
case 7: ctx.transform(0, -1, -1, 0, rawHeight, rawWidth); break;
case 8: ctx.transform(0, -1, 1, 0, 0, rawWidth); break;
}
ctx.drawImage(img, 0, 0, rawWidth, rawHeight);
return canvas;
}
function reduceFileSize(file, acceptFileSize, maxWidth, maxHeight, quality, callback) {
if (file.size <= acceptFileSize) {
callback(file);
return;
}
var img = new Image();
img.onerror = function() {
URL.revokeObjectURL(this.src);
callback(file);
};
img.onload = function() {
URL.revokeObjectURL(this.src);
getExifOrientation(file, function(orientation) {
var w = img.width, h = img.height;
var scale = (orientation > 4 ?
Math.min(maxHeight / w, maxWidth / h, 1) :
Math.min(maxWidth / w, maxHeight / h, 1));
h = Math.round(h * scale);
w = Math.round(w * scale);
var canvas = imgToCanvasWithOrientation(img, w, h, orientation);
canvas.toBlob(function(blob) {
console.log("Resized image to " + w + "x" + h + ", " + (blob.size >> 10) + "kB");
callback(blob);
}, 'image/jpeg', quality);
});
};
img.src = URL.createObjectURL(file);
}
Example usage:
inputfile.onchange = function() {
// If file size > 500kB, resize such that width <= 1000, quality = 0.9
reduceFileSize(this.files[0], 500*1024, 1000, Infinity, 0.9, blob => {
let body = new FormData();
body.set('file', blob, blob.name || "file.jpg");
fetch('/upload-image', {method: 'POST', body}).then(...);
});
};

#PsychoWoods' answer is good. I would like to offer my own solution. This Javascript function takes an image data URL and a width, scales it to the new width, and returns a new data URL.
// Take an image URL, downscale it to the given width, and return a new image URL.
function downscaleImage(dataUrl, newWidth, imageType, imageArguments) {
"use strict";
var image, oldWidth, oldHeight, newHeight, canvas, ctx, newDataUrl;
// Provide default values
imageType = imageType || "image/jpeg";
imageArguments = imageArguments || 0.7;
// Create a temporary image so that we can compute the height of the downscaled image.
image = new Image();
image.src = dataUrl;
oldWidth = image.width;
oldHeight = image.height;
newHeight = Math.floor(oldHeight / oldWidth * newWidth)
// Create a temporary canvas to draw the downscaled image on.
canvas = document.createElement("canvas");
canvas.width = newWidth;
canvas.height = newHeight;
// Draw the downscaled image on the canvas and return the new data URL.
ctx = canvas.getContext("2d");
ctx.drawImage(image, 0, 0, newWidth, newHeight);
newDataUrl = canvas.toDataURL(imageType, imageArguments);
return newDataUrl;
}
This code can be used anywhere you have a data URL and want a data URL for a downscaled image.

You can take a look at image-conversion,Try it here --> demo page

Try this Customizable Pure JS Sample - Compress over 90% :
<div id="root">
<p>Upload an image and see the result</p>
<input id="img-input" type="file" accept="image/*" style="display:block" />
</div>
<script>
const MAX_WIDTH = 320;
const MAX_HEIGHT = 180;
const MIME_TYPE = "image/jpeg";
const QUALITY = 0.7;
const input = document.getElementById("img-input");
input.onchange = function (ev) {
const file = ev.target.files[0]; // get the file
const blobURL = URL.createObjectURL(file);
const img = new Image();
img.src = blobURL;
img.onerror = function () {
URL.revokeObjectURL(this.src);
// Handle the failure properly
console.log("Cannot load image");
};
img.onload = function () {
URL.revokeObjectURL(this.src);
const [newWidth, newHeight] = calculateSize(img, MAX_WIDTH, MAX_HEIGHT);
const canvas = document.createElement("canvas");
canvas.width = newWidth;
canvas.height = newHeight;
const ctx = canvas.getContext("2d");
ctx.drawImage(img, 0, 0, newWidth, newHeight);
canvas.toBlob(
(blob) => {
// Handle the compressed image. es. upload or save in local state
displayInfo('Original file', file);
displayInfo('Compressed file', blob);
},
MIME_TYPE,
QUALITY
);
document.getElementById("root").append(canvas);
};
};
function calculateSize(img, maxWidth, maxHeight) {
let width = img.width;
let height = img.height;
// calculate the width and height, constraining the proportions
if (width > height) {
if (width > maxWidth) {
height = Math.round((height * maxWidth) / width);
width = maxWidth;
}
} else {
if (height > maxHeight) {
width = Math.round((width * maxHeight) / height);
height = maxHeight;
}
}
return [width, height];
}
// Utility functions for demo purpose
function displayInfo(label, file) {
const p = document.createElement('p');
p.innerText = `${label} - ${readableBytes(file.size)}`;
document.getElementById('root').append(p);
}
function readableBytes(bytes) {
const i = Math.floor(Math.log(bytes) / Math.log(1024)),
sizes = ['B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'];
return (bytes / Math.pow(1024, i)).toFixed(2) + ' ' + sizes[i];
}
</script>

I find that there's simpler solution compared to the accepted answer.
Read the files using the HTML5 FileReader API with .readAsArrayBuffer
Create a Blob with the file data and get its url with window.URL.createObjectURL(blob)
Create new Image element and set it's src to the file blob url
Send the image to the canvas. The canvas size is set to desired output size
Get the scaled-down data back from canvas via canvas.toDataURL("image/jpeg",0.7) (set your own output format and quality)
Attach new hidden inputs to the original form and transfer the dataURI images basically as normal text
On backend, read the dataURI, decode from Base64, and save it
As per your question:
Is there a way to compress an image (mostly jpeg, png and gif)
directly browser-side, before uploading it
My solution:
Create a blob with the file directly with URL.createObjectURL(inputFileElement.files[0]).
Same as accepted answer.
Same as accepted answer. Worth mentioning that, canvas size is necessary and use img.width and img.height to set canvas.width and canvas.height. Not img.clientWidth.
Get the scale-down image by canvas.toBlob(callbackfunction(blob){}, 'image/jpeg', 0.5). Setting 'image/jpg' has no effect. image/png is also supported. Make a new File object inside the callbackfunction body with let compressedImageBlob = new File([blob]).
Add new hidden inputs or send via javascript . Server doesn't have to decode anything.
Check https://javascript.info/binary for all information. I came up the solution after reading this chapter.
Code:
<!DOCTYPE html>
<html>
<body>
<form action="upload.php" method="post" enctype="multipart/form-data">
Select image to upload:
<input type="file" name="fileToUpload" id="fileToUpload" multiple>
<input type="submit" value="Upload Image" name="submit">
</form>
</body>
</html>
This code looks far less scary than the other answers..
Update:
One has to put everything inside img.onload. Otherwise canvas will not be able to get the image's width and height correctly as the time canvas is assigned.
function upload(){
var f = fileToUpload.files[0];
var fileName = f.name.split('.')[0];
var img = new Image();
img.src = URL.createObjectURL(f);
img.onload = function(){
var canvas = document.createElement('canvas');
canvas.width = img.width;
canvas.height = img.height;
var ctx = canvas.getContext('2d');
ctx.drawImage(img, 0, 0);
canvas.toBlob(function(blob){
console.info(blob.size);
var f2 = new File([blob], fileName + ".jpeg");
var xhr = new XMLHttpRequest();
var form = new FormData();
form.append("fileToUpload", f2);
xhr.open("POST", "upload.php");
xhr.send(form);
}, 'image/jpeg', 0.5);
}
}
3.4MB .png file compression test with image/jpeg argument set.
|0.9| 777KB |
|0.8| 383KB |
|0.7| 301KB |
|0.6| 251KB |
|0.5| 219kB |

I had an issue with the downscaleImage() function posted above by #daniel-allen-langdon in that the image.width and image.height properties are not available immediately because the image load is asynchronous.
Please see updated TypeScript example below that takes this into account, uses async functions, and resizes the image based on the longest dimension rather than just the width
function getImage(dataUrl: string): Promise<HTMLImageElement>
{
return new Promise((resolve, reject) => {
const image = new Image();
image.src = dataUrl;
image.onload = () => {
resolve(image);
};
image.onerror = (el: any, err: ErrorEvent) => {
reject(err.error);
};
});
}
export async function downscaleImage(
dataUrl: string,
imageType: string, // e.g. 'image/jpeg'
resolution: number, // max width/height in pixels
quality: number // e.g. 0.9 = 90% quality
): Promise<string> {
// Create a temporary image so that we can compute the height of the image.
const image = await getImage(dataUrl);
const oldWidth = image.naturalWidth;
const oldHeight = image.naturalHeight;
console.log('dims', oldWidth, oldHeight);
const longestDimension = oldWidth > oldHeight ? 'width' : 'height';
const currentRes = longestDimension == 'width' ? oldWidth : oldHeight;
console.log('longest dim', longestDimension, currentRes);
if (currentRes > resolution) {
console.log('need to resize...');
// Calculate new dimensions
const newSize = longestDimension == 'width'
? Math.floor(oldHeight / oldWidth * resolution)
: Math.floor(oldWidth / oldHeight * resolution);
const newWidth = longestDimension == 'width' ? resolution : newSize;
const newHeight = longestDimension == 'height' ? resolution : newSize;
console.log('new width / height', newWidth, newHeight);
// Create a temporary canvas to draw the downscaled image on.
const canvas = document.createElement('canvas');
canvas.width = newWidth;
canvas.height = newHeight;
// Draw the downscaled image on the canvas and return the new data URL.
const ctx = canvas.getContext('2d')!;
ctx.drawImage(image, 0, 0, newWidth, newHeight);
const newDataUrl = canvas.toDataURL(imageType, quality);
return newDataUrl;
}
else {
return dataUrl;
}
}

For Moderm browser use createImageBitmap() instead of img.onload
async function compressImage(blobImg, percent) {
let bitmap = await createImageBitmap(blobImg);
let canvas = document.createElement("canvas");
let ctx = canvas.getContext("2d");
canvas.width = bitmap.width;
canvas.height = bitmap.height;
ctx.drawImage(bitmap, 0, 0);
let dataUrl = canvas.toDataURL("image/jpeg", percent/100);
return dataUrl;
}
inputImg.addEventListener('change', async(e) => {
let img = e.target.files[0];
console.log('File Name: ', img.name)
console.log('Original Size: ', img.size.toLocaleString())
let imgCompressed = await compressImage(img, 75) // set to 75%
let compSize = atob(imgCompressed.split(",")[1]).length;
console.log('Compressed Size: ', compSize.toLocaleString())
//console.log(imgCompressed)
})
<input type="file" id="inputImg">

Edit: As per the Mr Me comment on this answer, it looks like compression is now available for JPG/WebP formats ( see https://developer.mozilla.org/en-US/docs/Web/API/HTMLCanvasElement/toDataURL ).
As far as I know, you cannot compress images using canvas, instead, you can resize it. Using canvas.toDataURL will not let you choose the compression ratio to use. You can take a look at canimage that does exactly what you want : https://github.com/nfroidure/CanImage/blob/master/chrome/canimage/content/canimage.js
In fact, it's often sufficient to just resize the image to decrease it's size but if you want to go further, you'll have to use newly introduced method file.readAsArrayBuffer to get a buffer containing the image data.
Then, just use a DataView to read it's content according to the image format specification (http://en.wikipedia.org/wiki/JPEG or http://en.wikipedia.org/wiki/Portable_Network_Graphics).
It'll be hard to deal with image data compression, but it is worse a try. On the other hand, you can try to delete the PNG headers or the JPEG exif data to make your image smaller, it should be easier to do so.
You'll have to create another DataWiew on another buffer and fill it with the filtered image content. Then, you'll just have to encode you're image content to DataURI using window.btoa.
Let me know if you implement something similar, will be interesting to go through the code.

Compressor.js
https://github.com/fengyuanchen/compressorjs
import axios from 'axios';
import Compressor from 'compressorjs';
document.getElementById('file').addEventListener('change', (e) => {
const file = e.target.files[0];
if (!file) {
return;
}
new Compressor(file, {
quality: 0.6,
// The compression process is asynchronous,
// which means you have to access the `result` in the `success` hook function.
success(result) {
const formData = new FormData();
// The third parameter is required for server
formData.append('file', result, result.name);
// Send the compressed image file to server with XMLHttpRequest.
axios.post('/path/to/upload', formData).then(() => {
console.log('Upload success');
});
},
error(err) {
console.log(err.message);
},
});
});

I used the following package:
https://www.npmjs.com/package/browser-image-compression
npm install browser-image-compression
or
yarn add browser-image-compression
Then just following the docs:
import imageCompression from 'browser-image-compression';
const options = {
maxSizeMB: 0.5, // pretty much self-explanatory
maxWidthOrHeight: 500, // apparently px
}
imageCompression(file, options)
.then(function(compressedFile) {
console.log(
"compressedFile instanceof Blob",
compressedFile instanceof Blob
); // true
console.log(
`compressedFile size ${compressedFile.size /
1024 /
1024} MB`
); // smaller than maxSizeMB
return uploader(compressedFile); // code to actual upload, in my case uploader() is a function to upload to Firebase storage.
})
Just in case if you were curios about the uploader(), here's the code of it:
import { initializeApp } from "firebase/app";
const firebaseConfig = {
// your config
};
initializeApp(firebaseConfig);
import { getStorage, ref, uploadBytes, getDownloadURL } from "firebase/storage";
const storage = getStorage();
const sRef = ref(storage);
const uploader = async (file) => {
/* uploads to root */
// const imageRef = ref(sRef, file.name);
// console.log(imageRef);
// await uploadBytes(imageRef, file).then((snapshot) => {
// console.log("Uploaded a blob or file!", snapshot);
// });
/* upload to folder 'techs/' */
const folderRef = ref(sRef, "techs/" + file.name);
await uploadBytes(folderRef, file);
// get URL
const url = await getDownloadURL(ref(storage, folderRef));
console.log("url: ", url);
return url;
};

You can compress an image using the HTML <canvas> element:
function compressImage(imgToCompress, resizingFactor, quality) {
// resizing the image
const canvas = document.createElement("canvas");
const context = canvas.getContext("2d");
const originalWidth = imgToCompress.width;
const originalHeight = imgToCompress.height;
const canvasWidth = originalWidth * resizingFactor;
const canvasHeight = originalHeight * resizingFactor;
canvas.width = canvasWidth;
canvas.height = canvasHeight;
context.drawImage(
imgToCompress,
0,
0,
originalWidth * resizingFactor,
originalHeight * resizingFactor
);
// reducing the quality of the image
canvas.toBlob(
(blob) => {
if (blob) {
// showing the compressed image
resizedImage.src = URL.createObjectURL(resizedImageBlob);
}
},
"image/jpeg",
quality
);
}
See this blog post for an in depth explanation: https://img.ly/blog/how-to-compress-an-image-before-uploading-it-in-javascript/

i improved the function a head to be this :
var minifyImg = function(dataUrl,newWidth,imageType="image/jpeg",resolve,imageArguments=0.7){
var image, oldWidth, oldHeight, newHeight, canvas, ctx, newDataUrl;
(new Promise(function(resolve){
image = new Image(); image.src = dataUrl;
log(image);
resolve('Done : ');
})).then((d)=>{
oldWidth = image.width; oldHeight = image.height;
log([oldWidth,oldHeight]);
newHeight = Math.floor(oldHeight / oldWidth * newWidth);
log(d+' '+newHeight);
canvas = document.createElement("canvas");
canvas.width = newWidth; canvas.height = newHeight;
log(canvas);
ctx = canvas.getContext("2d");
ctx.drawImage(image, 0, 0, newWidth, newHeight);
//log(ctx);
newDataUrl = canvas.toDataURL(imageType, imageArguments);
resolve(newDataUrl);
});
};
the use of it :
minifyImg(<--DATAURL_HERE-->,<--new width-->,<--type like image/jpeg-->,(data)=>{
console.log(data); // the new DATAURL
});
enjoy ;)

For JPG Image compression you can use the best compression technique called JIC
(Javascript Image Compression)This will definitely help you -->https://github.com/brunobar79/J-I-C

Resizing Image on client side and save to server [duplicate]

In short:
Read the files using the HTML5 FileReader API with .readAsArrayBuffer
Create a Blob with the file data and get its url with window.URL.createObjectURL(blob)
Create new Image element and set it's src to the file blob url
Send the image to the canvas. The canvas size is set to desired output size
Get the scaled-down data back from canvas via canvas.toDataURL("image/jpeg",0.7) (set your own output format and quality)
Attach new hidden inputs to the original form and transfer the dataURI images basically as normal text
On backend, read the dataURI, decode from Base64, and save it
Source: code.

I see two things missing from the other answers:
canvas.toBlob (when available) is more performant than canvas.toDataURL, and also async.
the file -> image -> canvas -> file conversion loses EXIF data; in particular, data about image rotation commonly set by modern phones/tablets.
The following script deals with both points:
// From https://developer.mozilla.org/en-US/docs/Web/API/HTMLCanvasElement/toBlob, needed for Safari:
if (!HTMLCanvasElement.prototype.toBlob) {
Object.defineProperty(HTMLCanvasElement.prototype, 'toBlob', {
value: function(callback, type, quality) {
var binStr = atob(this.toDataURL(type, quality).split(',')[1]),
len = binStr.length,
arr = new Uint8Array(len);
for (var i = 0; i < len; i++) {
arr[i] = binStr.charCodeAt(i);
}
callback(new Blob([arr], {type: type || 'image/png'}));
}
});
}
window.URL = window.URL || window.webkitURL;
// Modified from https://stackoverflow.com/a/32490603, cc by-sa 3.0
// -2 = not jpeg, -1 = no data, 1..8 = orientations
function getExifOrientation(file, callback) {
// Suggestion from http://code.flickr.net/2012/06/01/parsing-exif-client-side-using-javascript-2/:
if (file.slice) {
file = file.slice(0, 131072);
} else if (file.webkitSlice) {
file = file.webkitSlice(0, 131072);
}
var reader = new FileReader();
reader.onload = function(e) {
var view = new DataView(e.target.result);
if (view.getUint16(0, false) != 0xFFD8) {
callback(-2);
return;
}
var length = view.byteLength, offset = 2;
while (offset < length) {
var marker = view.getUint16(offset, false);
offset += 2;
if (marker == 0xFFE1) {
if (view.getUint32(offset += 2, false) != 0x45786966) {
callback(-1);
return;
}
var little = view.getUint16(offset += 6, false) == 0x4949;
offset += view.getUint32(offset + 4, little);
var tags = view.getUint16(offset, little);
offset += 2;
for (var i = 0; i < tags; i++)
if (view.getUint16(offset + (i * 12), little) == 0x0112) {
callback(view.getUint16(offset + (i * 12) + 8, little));
return;
}
}
else if ((marker & 0xFF00) != 0xFF00) break;
else offset += view.getUint16(offset, false);
}
callback(-1);
};
reader.readAsArrayBuffer(file);
}
// Derived from https://stackoverflow.com/a/40867559, cc by-sa
function imgToCanvasWithOrientation(img, rawWidth, rawHeight, orientation) {
var canvas = document.createElement('canvas');
if (orientation > 4) {
canvas.width = rawHeight;
canvas.height = rawWidth;
} else {
canvas.width = rawWidth;
canvas.height = rawHeight;
}
if (orientation > 1) {
console.log("EXIF orientation = " + orientation + ", rotating picture");
}
var ctx = canvas.getContext('2d');
switch (orientation) {
case 2: ctx.transform(-1, 0, 0, 1, rawWidth, 0); break;
case 3: ctx.transform(-1, 0, 0, -1, rawWidth, rawHeight); break;
case 4: ctx.transform(1, 0, 0, -1, 0, rawHeight); break;
case 5: ctx.transform(0, 1, 1, 0, 0, 0); break;
case 6: ctx.transform(0, 1, -1, 0, rawHeight, 0); break;
case 7: ctx.transform(0, -1, -1, 0, rawHeight, rawWidth); break;
case 8: ctx.transform(0, -1, 1, 0, 0, rawWidth); break;
}
ctx.drawImage(img, 0, 0, rawWidth, rawHeight);
return canvas;
}
function reduceFileSize(file, acceptFileSize, maxWidth, maxHeight, quality, callback) {
if (file.size <= acceptFileSize) {
callback(file);
return;
}
var img = new Image();
img.onerror = function() {
URL.revokeObjectURL(this.src);
callback(file);
};
img.onload = function() {
URL.revokeObjectURL(this.src);
getExifOrientation(file, function(orientation) {
var w = img.width, h = img.height;
var scale = (orientation > 4 ?
Math.min(maxHeight / w, maxWidth / h, 1) :
Math.min(maxWidth / w, maxHeight / h, 1));
h = Math.round(h * scale);
w = Math.round(w * scale);
var canvas = imgToCanvasWithOrientation(img, w, h, orientation);
canvas.toBlob(function(blob) {
console.log("Resized image to " + w + "x" + h + ", " + (blob.size >> 10) + "kB");
callback(blob);
}, 'image/jpeg', quality);
});
};
img.src = URL.createObjectURL(file);
}
Example usage:
inputfile.onchange = function() {
// If file size > 500kB, resize such that width <= 1000, quality = 0.9
reduceFileSize(this.files[0], 500*1024, 1000, Infinity, 0.9, blob => {
let body = new FormData();
body.set('file', blob, blob.name || "file.jpg");
fetch('/upload-image', {method: 'POST', body}).then(...);
});
};

#PsychoWoods' answer is good. I would like to offer my own solution. This Javascript function takes an image data URL and a width, scales it to the new width, and returns a new data URL.
// Take an image URL, downscale it to the given width, and return a new image URL.
function downscaleImage(dataUrl, newWidth, imageType, imageArguments) {
"use strict";
var image, oldWidth, oldHeight, newHeight, canvas, ctx, newDataUrl;
// Provide default values
imageType = imageType || "image/jpeg";
imageArguments = imageArguments || 0.7;
// Create a temporary image so that we can compute the height of the downscaled image.
image = new Image();
image.src = dataUrl;
oldWidth = image.width;
oldHeight = image.height;
newHeight = Math.floor(oldHeight / oldWidth * newWidth)
// Create a temporary canvas to draw the downscaled image on.
canvas = document.createElement("canvas");
canvas.width = newWidth;
canvas.height = newHeight;
// Draw the downscaled image on the canvas and return the new data URL.
ctx = canvas.getContext("2d");
ctx.drawImage(image, 0, 0, newWidth, newHeight);
newDataUrl = canvas.toDataURL(imageType, imageArguments);
return newDataUrl;
}
This code can be used anywhere you have a data URL and want a data URL for a downscaled image.

You can take a look at image-conversion,Try it here --> demo page

Try this Customizable Pure JS Sample - Compress over 90% :
<div id="root">
<p>Upload an image and see the result</p>
<input id="img-input" type="file" accept="image/*" style="display:block" />
</div>
<script>
const MAX_WIDTH = 320;
const MAX_HEIGHT = 180;
const MIME_TYPE = "image/jpeg";
const QUALITY = 0.7;
const input = document.getElementById("img-input");
input.onchange = function (ev) {
const file = ev.target.files[0]; // get the file
const blobURL = URL.createObjectURL(file);
const img = new Image();
img.src = blobURL;
img.onerror = function () {
URL.revokeObjectURL(this.src);
// Handle the failure properly
console.log("Cannot load image");
};
img.onload = function () {
URL.revokeObjectURL(this.src);
const [newWidth, newHeight] = calculateSize(img, MAX_WIDTH, MAX_HEIGHT);
const canvas = document.createElement("canvas");
canvas.width = newWidth;
canvas.height = newHeight;
const ctx = canvas.getContext("2d");
ctx.drawImage(img, 0, 0, newWidth, newHeight);
canvas.toBlob(
(blob) => {
// Handle the compressed image. es. upload or save in local state
displayInfo('Original file', file);
displayInfo('Compressed file', blob);
},
MIME_TYPE,
QUALITY
);
document.getElementById("root").append(canvas);
};
};
function calculateSize(img, maxWidth, maxHeight) {
let width = img.width;
let height = img.height;
// calculate the width and height, constraining the proportions
if (width > height) {
if (width > maxWidth) {
height = Math.round((height * maxWidth) / width);
width = maxWidth;
}
} else {
if (height > maxHeight) {
width = Math.round((width * maxHeight) / height);
height = maxHeight;
}
}
return [width, height];
}
// Utility functions for demo purpose
function displayInfo(label, file) {
const p = document.createElement('p');
p.innerText = `${label} - ${readableBytes(file.size)}`;
document.getElementById('root').append(p);
}
function readableBytes(bytes) {
const i = Math.floor(Math.log(bytes) / Math.log(1024)),
sizes = ['B', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'];
return (bytes / Math.pow(1024, i)).toFixed(2) + ' ' + sizes[i];
}
</script>

I find that there's simpler solution compared to the accepted answer.
Read the files using the HTML5 FileReader API with .readAsArrayBuffer
Create a Blob with the file data and get its url with window.URL.createObjectURL(blob)
Create new Image element and set it's src to the file blob url
Send the image to the canvas. The canvas size is set to desired output size
Get the scaled-down data back from canvas via canvas.toDataURL("image/jpeg",0.7) (set your own output format and quality)
Attach new hidden inputs to the original form and transfer the dataURI images basically as normal text
On backend, read the dataURI, decode from Base64, and save it
As per your question:
Is there a way to compress an image (mostly jpeg, png and gif)
directly browser-side, before uploading it
My solution:
Create a blob with the file directly with URL.createObjectURL(inputFileElement.files[0]).
Same as accepted answer.
Same as accepted answer. Worth mentioning that, canvas size is necessary and use img.width and img.height to set canvas.width and canvas.height. Not img.clientWidth.
Get the scale-down image by canvas.toBlob(callbackfunction(blob){}, 'image/jpeg', 0.5). Setting 'image/jpg' has no effect. image/png is also supported. Make a new File object inside the callbackfunction body with let compressedImageBlob = new File([blob]).
Add new hidden inputs or send via javascript . Server doesn't have to decode anything.
Check https://javascript.info/binary for all information. I came up the solution after reading this chapter.
Code:
<!DOCTYPE html>
<html>
<body>
<form action="upload.php" method="post" enctype="multipart/form-data">
Select image to upload:
<input type="file" name="fileToUpload" id="fileToUpload" multiple>
<input type="submit" value="Upload Image" name="submit">
</form>
</body>
</html>
This code looks far less scary than the other answers..
Update:
One has to put everything inside img.onload. Otherwise canvas will not be able to get the image's width and height correctly as the time canvas is assigned.
function upload(){
var f = fileToUpload.files[0];
var fileName = f.name.split('.')[0];
var img = new Image();
img.src = URL.createObjectURL(f);
img.onload = function(){
var canvas = document.createElement('canvas');
canvas.width = img.width;
canvas.height = img.height;
var ctx = canvas.getContext('2d');
ctx.drawImage(img, 0, 0);
canvas.toBlob(function(blob){
console.info(blob.size);
var f2 = new File([blob], fileName + ".jpeg");
var xhr = new XMLHttpRequest();
var form = new FormData();
form.append("fileToUpload", f2);
xhr.open("POST", "upload.php");
xhr.send(form);
}, 'image/jpeg', 0.5);
}
}
3.4MB .png file compression test with image/jpeg argument set.
|0.9| 777KB |
|0.8| 383KB |
|0.7| 301KB |
|0.6| 251KB |
|0.5| 219kB |

I had an issue with the downscaleImage() function posted above by #daniel-allen-langdon in that the image.width and image.height properties are not available immediately because the image load is asynchronous.
Please see updated TypeScript example below that takes this into account, uses async functions, and resizes the image based on the longest dimension rather than just the width
function getImage(dataUrl: string): Promise<HTMLImageElement>
{
return new Promise((resolve, reject) => {
const image = new Image();
image.src = dataUrl;
image.onload = () => {
resolve(image);
};
image.onerror = (el: any, err: ErrorEvent) => {
reject(err.error);
};
});
}
export async function downscaleImage(
dataUrl: string,
imageType: string, // e.g. 'image/jpeg'
resolution: number, // max width/height in pixels
quality: number // e.g. 0.9 = 90% quality
): Promise<string> {
// Create a temporary image so that we can compute the height of the image.
const image = await getImage(dataUrl);
const oldWidth = image.naturalWidth;
const oldHeight = image.naturalHeight;
console.log('dims', oldWidth, oldHeight);
const longestDimension = oldWidth > oldHeight ? 'width' : 'height';
const currentRes = longestDimension == 'width' ? oldWidth : oldHeight;
console.log('longest dim', longestDimension, currentRes);
if (currentRes > resolution) {
console.log('need to resize...');
// Calculate new dimensions
const newSize = longestDimension == 'width'
? Math.floor(oldHeight / oldWidth * resolution)
: Math.floor(oldWidth / oldHeight * resolution);
const newWidth = longestDimension == 'width' ? resolution : newSize;
const newHeight = longestDimension == 'height' ? resolution : newSize;
console.log('new width / height', newWidth, newHeight);
// Create a temporary canvas to draw the downscaled image on.
const canvas = document.createElement('canvas');
canvas.width = newWidth;
canvas.height = newHeight;
// Draw the downscaled image on the canvas and return the new data URL.
const ctx = canvas.getContext('2d')!;
ctx.drawImage(image, 0, 0, newWidth, newHeight);
const newDataUrl = canvas.toDataURL(imageType, quality);
return newDataUrl;
}
else {
return dataUrl;
}
}

For Moderm browser use createImageBitmap() instead of img.onload
async function compressImage(blobImg, percent) {
let bitmap = await createImageBitmap(blobImg);
let canvas = document.createElement("canvas");
let ctx = canvas.getContext("2d");
canvas.width = bitmap.width;
canvas.height = bitmap.height;
ctx.drawImage(bitmap, 0, 0);
let dataUrl = canvas.toDataURL("image/jpeg", percent/100);
return dataUrl;
}
inputImg.addEventListener('change', async(e) => {
let img = e.target.files[0];
console.log('File Name: ', img.name)
console.log('Original Size: ', img.size.toLocaleString())
let imgCompressed = await compressImage(img, 75) // set to 75%
let compSize = atob(imgCompressed.split(",")[1]).length;
console.log('Compressed Size: ', compSize.toLocaleString())
//console.log(imgCompressed)
})
<input type="file" id="inputImg">

Edit: As per the Mr Me comment on this answer, it looks like compression is now available for JPG/WebP formats ( see https://developer.mozilla.org/en-US/docs/Web/API/HTMLCanvasElement/toDataURL ).
As far as I know, you cannot compress images using canvas, instead, you can resize it. Using canvas.toDataURL will not let you choose the compression ratio to use. You can take a look at canimage that does exactly what you want : https://github.com/nfroidure/CanImage/blob/master/chrome/canimage/content/canimage.js
In fact, it's often sufficient to just resize the image to decrease it's size but if you want to go further, you'll have to use newly introduced method file.readAsArrayBuffer to get a buffer containing the image data.
Then, just use a DataView to read it's content according to the image format specification (http://en.wikipedia.org/wiki/JPEG or http://en.wikipedia.org/wiki/Portable_Network_Graphics).
It'll be hard to deal with image data compression, but it is worse a try. On the other hand, you can try to delete the PNG headers or the JPEG exif data to make your image smaller, it should be easier to do so.
You'll have to create another DataWiew on another buffer and fill it with the filtered image content. Then, you'll just have to encode you're image content to DataURI using window.btoa.
Let me know if you implement something similar, will be interesting to go through the code.

Compressor.js
https://github.com/fengyuanchen/compressorjs
import axios from 'axios';
import Compressor from 'compressorjs';
document.getElementById('file').addEventListener('change', (e) => {
const file = e.target.files[0];
if (!file) {
return;
}
new Compressor(file, {
quality: 0.6,
// The compression process is asynchronous,
// which means you have to access the `result` in the `success` hook function.
success(result) {
const formData = new FormData();
// The third parameter is required for server
formData.append('file', result, result.name);
// Send the compressed image file to server with XMLHttpRequest.
axios.post('/path/to/upload', formData).then(() => {
console.log('Upload success');
});
},
error(err) {
console.log(err.message);
},
});
});

I used the following package:
https://www.npmjs.com/package/browser-image-compression
npm install browser-image-compression
or
yarn add browser-image-compression
Then just following the docs:
import imageCompression from 'browser-image-compression';
const options = {
maxSizeMB: 0.5, // pretty much self-explanatory
maxWidthOrHeight: 500, // apparently px
}
imageCompression(file, options)
.then(function(compressedFile) {
console.log(
"compressedFile instanceof Blob",
compressedFile instanceof Blob
); // true
console.log(
`compressedFile size ${compressedFile.size /
1024 /
1024} MB`
); // smaller than maxSizeMB
return uploader(compressedFile); // code to actual upload, in my case uploader() is a function to upload to Firebase storage.
})
Just in case if you were curios about the uploader(), here's the code of it:
import { initializeApp } from "firebase/app";
const firebaseConfig = {
// your config
};
initializeApp(firebaseConfig);
import { getStorage, ref, uploadBytes, getDownloadURL } from "firebase/storage";
const storage = getStorage();
const sRef = ref(storage);
const uploader = async (file) => {
/* uploads to root */
// const imageRef = ref(sRef, file.name);
// console.log(imageRef);
// await uploadBytes(imageRef, file).then((snapshot) => {
// console.log("Uploaded a blob or file!", snapshot);
// });
/* upload to folder 'techs/' */
const folderRef = ref(sRef, "techs/" + file.name);
await uploadBytes(folderRef, file);
// get URL
const url = await getDownloadURL(ref(storage, folderRef));
console.log("url: ", url);
return url;
};

You can compress an image using the HTML <canvas> element:
function compressImage(imgToCompress, resizingFactor, quality) {
// resizing the image
const canvas = document.createElement("canvas");
const context = canvas.getContext("2d");
const originalWidth = imgToCompress.width;
const originalHeight = imgToCompress.height;
const canvasWidth = originalWidth * resizingFactor;
const canvasHeight = originalHeight * resizingFactor;
canvas.width = canvasWidth;
canvas.height = canvasHeight;
context.drawImage(
imgToCompress,
0,
0,
originalWidth * resizingFactor,
originalHeight * resizingFactor
);
// reducing the quality of the image
canvas.toBlob(
(blob) => {
if (blob) {
// showing the compressed image
resizedImage.src = URL.createObjectURL(resizedImageBlob);
}
},
"image/jpeg",
quality
);
}
See this blog post for an in depth explanation: https://img.ly/blog/how-to-compress-an-image-before-uploading-it-in-javascript/

i improved the function a head to be this :
var minifyImg = function(dataUrl,newWidth,imageType="image/jpeg",resolve,imageArguments=0.7){
var image, oldWidth, oldHeight, newHeight, canvas, ctx, newDataUrl;
(new Promise(function(resolve){
image = new Image(); image.src = dataUrl;
log(image);
resolve('Done : ');
})).then((d)=>{
oldWidth = image.width; oldHeight = image.height;
log([oldWidth,oldHeight]);
newHeight = Math.floor(oldHeight / oldWidth * newWidth);
log(d+' '+newHeight);
canvas = document.createElement("canvas");
canvas.width = newWidth; canvas.height = newHeight;
log(canvas);
ctx = canvas.getContext("2d");
ctx.drawImage(image, 0, 0, newWidth, newHeight);
//log(ctx);
newDataUrl = canvas.toDataURL(imageType, imageArguments);
resolve(newDataUrl);
});
};
the use of it :
minifyImg(<--DATAURL_HERE-->,<--new width-->,<--type like image/jpeg-->,(data)=>{
console.log(data); // the new DATAURL
});
enjoy ;)

For JPG Image compression you can use the best compression technique called JIC
(Javascript Image Compression)This will definitely help you -->https://github.com/brunobar79/J-I-C

Resize image with javascript canvas (smoothly)

I'm trying to resize some images with canvas but I'm clueless on how to smoothen them.
On photoshop, browsers etc.. there are a few algorithms they use (e.g. bicubic, bilinear) but I don't know if these are built into canvas or not.
Here's my fiddle: http://jsfiddle.net/EWupT/
var canvas = document.createElement('canvas');
var ctx = canvas.getContext('2d');
canvas.width=300
canvas.height=234
ctx.drawImage(img, 0, 0, 300, 234);
document.body.appendChild(canvas);
The first one is a normal resized image tag, and the second one is canvas. Notice how the canvas one is not as smooth. How can I achieve 'smoothness'?

You can use down-stepping to achieve better results. Most browsers seem to use linear interpolation rather than bi-cubic when resizing images.
(Update There has been added a quality property to the specs, imageSmoothingQuality which is currently available in Chrome only.)
Unless one chooses no smoothing or nearest neighbor the browser will always interpolate the image after down-scaling it as this function as a low-pass filter to avoid aliasing.
Bi-linear uses 2x2 pixels to do the interpolation while bi-cubic uses 4x4 so by doing it in steps you can get close to bi-cubic result while using bi-linear interpolation as seen in the resulting images.
var canvas = document.getElementById("canvas");
var ctx = canvas.getContext("2d");
var img = new Image();
img.onload = function () {
// set size proportional to image
canvas.height = canvas.width * (img.height / img.width);
// step 1 - resize to 50%
var oc = document.createElement('canvas'),
octx = oc.getContext('2d');
oc.width = img.width * 0.5;
oc.height = img.height * 0.5;
octx.drawImage(img, 0, 0, oc.width, oc.height);
// step 2
octx.drawImage(oc, 0, 0, oc.width * 0.5, oc.height * 0.5);
// step 3, resize to final size
ctx.drawImage(oc, 0, 0, oc.width * 0.5, oc.height * 0.5,
0, 0, canvas.width, canvas.height);
}
img.src = "//i.imgur.com/SHo6Fub.jpg";
<img src="//i.imgur.com/SHo6Fub.jpg" width="300" height="234">
<canvas id="canvas" width=300></canvas>
Depending on how drastic your resize is you can might skip step 2 if the difference is less.
In the demo you can see the new result is now much similar to the image element.

Since Trung Le Nguyen Nhat's fiddle isn't correct at all
(it just uses the original image in the last step)
I wrote my own general fiddle with performance comparison:
FIDDLE
Basically it's:
img.onload = function() {
var canvas = document.createElement('canvas'),
ctx = canvas.getContext("2d"),
oc = document.createElement('canvas'),
octx = oc.getContext('2d');
canvas.width = width; // destination canvas size
canvas.height = canvas.width * img.height / img.width;
var cur = {
width: Math.floor(img.width * 0.5),
height: Math.floor(img.height * 0.5)
}
oc.width = cur.width;
oc.height = cur.height;
octx.drawImage(img, 0, 0, cur.width, cur.height);
while (cur.width * 0.5 > width) {
cur = {
width: Math.floor(cur.width * 0.5),
height: Math.floor(cur.height * 0.5)
};
octx.drawImage(oc, 0, 0, cur.width * 2, cur.height * 2, 0, 0, cur.width, cur.height);
}
ctx.drawImage(oc, 0, 0, cur.width, cur.height, 0, 0, canvas.width, canvas.height);
}

I created a reusable Angular service to handle high quality resizing of images / canvases for anyone who's interested: https://gist.github.com/transitive-bullshit/37bac5e741eaec60e983
The service includes two solutions because they both have their own pros / cons. The lanczos convolution approach is higher quality at the cost of being slower, whereas the step-wise downscaling approach produces reasonably antialiased results and is significantly faster.
Example usage:
angular.module('demo').controller('ExampleCtrl', function (imageService) {
// EXAMPLE USAGE
// NOTE: it's bad practice to access the DOM inside a controller,
// but this is just to show the example usage.
// resize by lanczos-sinc filter
imageService.resize($('#myimg')[0], 256, 256)
.then(function (resizedImage) {
// do something with resized image
})
// resize by stepping down image size in increments of 2x
imageService.resizeStep($('#myimg')[0], 256, 256)
.then(function (resizedImage) {
// do something with resized image
})
})

While some of those code-snippets are short and working, they aren't trivial to follow and understand.
As i am not a fan of "copy-paste" from stack-overflow, i would like developers to understand the code they are push into they software, hope you'll find the below useful.
DEMO: Resizing images with JS and HTML Canvas Demo fiddler.
You may find 3 different methods to do this resize, that will help you understand how the code is working and why.
https://jsfiddle.net/1b68eLdr/93089/
Full code of both demo, and TypeScript method that you may want to use in your code, can be found in the GitHub project.
https://github.com/eyalc4/ts-image-resizer
This is the final code:
export class ImageTools {
base64ResizedImage: string = null;
constructor() {
}
ResizeImage(base64image: string, width: number = 1080, height: number = 1080) {
let img = new Image();
img.src = base64image;
img.onload = () => {
// Check if the image require resize at all
if(img.height <= height && img.width <= width) {
this.base64ResizedImage = base64image;
// TODO: Call method to do something with the resize image
}
else {
// Make sure the width and height preserve the original aspect ratio and adjust if needed
if(img.height > img.width) {
width = Math.floor(height * (img.width / img.height));
}
else {
height = Math.floor(width * (img.height / img.width));
}
let resizingCanvas: HTMLCanvasElement = document.createElement('canvas');
let resizingCanvasContext = resizingCanvas.getContext("2d");
// Start with original image size
resizingCanvas.width = img.width;
resizingCanvas.height = img.height;
// Draw the original image on the (temp) resizing canvas
resizingCanvasContext.drawImage(img, 0, 0, resizingCanvas.width, resizingCanvas.height);
let curImageDimensions = {
width: Math.floor(img.width),
height: Math.floor(img.height)
};
let halfImageDimensions = {
width: null,
height: null
};
// Quickly reduce the dize by 50% each time in few iterations until the size is less then
// 2x time the target size - the motivation for it, is to reduce the aliasing that would have been
// created with direct reduction of very big image to small image
while (curImageDimensions.width * 0.5 > width) {
// Reduce the resizing canvas by half and refresh the image
halfImageDimensions.width = Math.floor(curImageDimensions.width * 0.5);
halfImageDimensions.height = Math.floor(curImageDimensions.height * 0.5);
resizingCanvasContext.drawImage(resizingCanvas, 0, 0, curImageDimensions.width, curImageDimensions.height,
0, 0, halfImageDimensions.width, halfImageDimensions.height);
curImageDimensions.width = halfImageDimensions.width;
curImageDimensions.height = halfImageDimensions.height;
}
// Now do final resize for the resizingCanvas to meet the dimension requirments
// directly to the output canvas, that will output the final image
let outputCanvas: HTMLCanvasElement = document.createElement('canvas');
let outputCanvasContext = outputCanvas.getContext("2d");
outputCanvas.width = width;
outputCanvas.height = height;
outputCanvasContext.drawImage(resizingCanvas, 0, 0, curImageDimensions.width, curImageDimensions.height,
0, 0, width, height);
// output the canvas pixels as an image. params: format, quality
this.base64ResizedImage = outputCanvas.toDataURL('image/jpeg', 0.85);
// TODO: Call method to do something with the resize image
}
};
}}

I don't understand why nobody is suggesting createImageBitmap.
createImageBitmap(
document.getElementById('image'),
{ resizeWidth: 300, resizeHeight: 234, resizeQuality: 'high' }
)
.then(imageBitmap =>
document.getElementById('canvas').getContext('2d').drawImage(imageBitmap, 0, 0)
);
works beautifully (assuming you set ids for image and canvas).

I created a library that allows you to downstep any percentage while keeping all the color data.
https://github.com/danschumann/limby-resize/blob/master/lib/canvas_resize.js
That file you can include in the browser. The results will look like photoshop or image magick, preserving all the color data, averaging pixels, rather than taking nearby ones and dropping others. It doesn't use a formula to guess the averages, it takes the exact average.

Based on K3N answer, I rewrite code generally for anyone wants
var oc = document.createElement('canvas'), octx = oc.getContext('2d');
oc.width = img.width;
oc.height = img.height;
octx.drawImage(img, 0, 0);
while (oc.width * 0.5 > width) {
oc.width *= 0.5;
oc.height *= 0.5;
octx.drawImage(oc, 0, 0, oc.width, oc.height);
}
oc.width = width;
oc.height = oc.width * img.height / img.width;
octx.drawImage(img, 0, 0, oc.width, oc.height);
UPDATE JSFIDDLE DEMO
Here is my ONLINE DEMO

I solved this by using scale for canvas and the image quality in my case becomes really good.
So first I scale the content inside of canvas:
ctx.scale(2, 2)
And then scale out the canvas tag with css:
#myCanvas { transform: scale(0.5); }

export const resizeImage = (imageFile, size = 80) => {
let resolver = ()=>{};
let reader = new FileReader();
reader.onload = function (e) {
let img = document.createElement("img");
img.onload = function (event) {
// Dynamically create a canvas element
let canvas = document.createElement("canvas");
canvas.width=size;
canvas.height=size;
// let canvas = document.getElementById("canvas");
let ctx = canvas.getContext("2d");
// Actual resizing
ctx.drawImage(img, 0, 0, size, size);
// Show resized image in preview element
let dataurl = canvas.toDataURL(imageFile.type);
resolver(dataurl);
}
img.src = e.target.result;
}
reader.readAsDataURL(imageFile);
return new Promise((resolve, reject) => {
resolver = resolve;
})
};

I wrote small js-utility to crop and resize image on front-end. Here is link on GitHub project. Also you can get blob from final image to send it.
import imageSqResizer from './image-square-resizer.js'
let resizer = new imageSqResizer(
'image-input',
300,
(dataUrl) =>
document.getElementById('image-output').src = dataUrl;
);
//Get blob
let formData = new FormData();
formData.append('files[0]', resizer.blob);
//get dataUrl
document.getElementById('image-output').src = resizer.dataUrl;

Here is my code, which I hope may be useful for someone out there in the SO community:
You can include your target image dimension as a param in your script call. That will be the result value of your image width or height, whichever is bigger. The smaller dimension is resized keeping your image aspect ratio unchanged. You can also hard-code your default target size in the script.
You can easily change the script to suit your specific needs, such as the image type you want (default is "image/png") for an output and decide in how many steps percentwise you want to resize your image for a finer result (see const percentStep in code).
const ResizeImage = ( _ => {
const MAX_LENGTH = 260; // default target size of largest dimension, either witdth or height
const percentStep = .3; // resizing steps until reaching target size in percents (30% default)
const canvas = document.createElement("canvas");
const canvasContext = canvas.getContext("2d");
const image = new Image();
const doResize = (callback, maxLength) => {
// abort with error if image has a dimension equal to zero
if(image.width == 0 || image.height == 0) {
return {blob: null, error: "either image width or height was zero "};
}
// use caller dimension or default length if none provided
const length = maxLength == null ? MAX_LENGTH : maxLength;
canvas.width = image.width;
canvas.height = image.height;
canvasContext.drawImage(image, 0, 0, image.width, image.height);
// if image size already within target size, just copy and return blob
if(image.width <= length && image.height <= length) {
canvas.toBlob( blob => {
callback({ blob: blob, error: null });
}, "image/png", 1);
return;
}
var startDim = Math.max(image.width, image.height);
var startSmallerDim = Math.min(image.width, image.height);
// gap to decrease in size until we reach the target size,
// be it by decreasing the image width or height,
// whichever is largest
const gap = startDim - length;
// step length of each resizing iteration
const step = parseInt(percentStep*gap);
// no. of iterations
var nSteps = 0;
if(step == 0) {
step = 1;
} else {
nSteps = parseInt(gap/step);
}
// length of last additional resizing step, if needed
const lastStep = gap % step;
// aspect ratio = value by which we'll multiply the smaller dimension
// in order to keep the aspect ratio unchanged in each iteration
const ratio = startSmallerDim/startDim;
var newDim; // calculated new length for the bigger dimension of the image, be it image width or height
var smallerDim; // length along the smaller dimension of the image, width or height
for(var i = 0; i < nSteps; i++) {
// decrease longest dimension one step in pixels
newDim = startDim - step;
// decrease shortest dimension proportionally, so as to keep aspect ratio
smallerDim = parseInt(ratio*newDim);
// assign calculated vars to their corresponding canvas dimension, width or height
if(image.width > image.height) {
[canvas.width, canvas.height] = [newDim, smallerDim];
} else {
[canvas.width, canvas.height] = [smallerDim, newDim];
}
// draw image one step smaller
canvasContext.drawImage(canvas, 0, 0, canvas.width, canvas.height);
// cycle var startDim for new loop
startDim = newDim;
}
// do last missing resizing step to finally reach target image size
if(lastStep > 0) {
if(image.width > image.height) {
[canvas.width, canvas.height] = [startDim - lastStep, parseInt(ratio*(startDim - lastStep))];
} else {
[canvas.width, canvas.height] = [parseInt(ratio*(startDim -lastStep)), startDim - lastStep];
}
canvasContext.drawImage(image, 0, 0, canvas.width, canvas.height);
}
// send blob to caller
canvas.toBlob( blob => {
callback({blob: blob, error: null});
}, "image/png", 1);
};
const resize = async (imgSrc, callback, maxLength) => {
image.src = imgSrc;
image.onload = _ => {
doResize(callback, maxLength);
};
};
return { resize: resize }
})();
Usage:
ResizeImage.resize("./path/to/image/or/blob/bytes/to/resize", imageObject => {
if(imageObject.error != null) {
// handle errors here
console.log(imageObject.error);
return;
}
// do whatever you want with the blob, like assinging it to
// an img element, or uploading it to a database
// ...
document.querySelector("#my-image").src = imageObject.blob;
// ...
}, 300);

Blending two ImageData into one ImageData with an offset in Javascript

I'm trying to blend two ImageData objects into a single object in order to obtain result similar to the pictures shown in this link
The following is the Javascript code that has the two ImageData
var redImage = copy.getImageData((SCREEN_WIDTH - VIDEO_WIDTH)/2,(SCREEN_HEIGHT - VIDEO_HEIGHT)/2,VIDEO_WIDTH,VIDEO_HEIGHT);
var bluImage = copy.getImageData((SCREEN_WIDTH - VIDEO_WIDTH)/2,(SCREEN_HEIGHT - VIDEO_HEIGHT)/2,VIDEO_WIDTH,VIDEO_HEIGHT);
var redData = redImage.data;
var blueData = blueImage.data;
// Colorize red
for(var i = 0; i < redData.length; i+=4) {
redData[i] -= (redData[i] - 255);
}
redImage.data = redData;
// Draw the pixels onto the visible canvas
disp.putImageData(redImage,(SCREEN_WIDTH - VIDEO_WIDTH)/2 - 25,(SCREEN_HEIGHT - VIDEO_HEIGHT)/2);
// Colorize cyan
for(var i = 1; i < blueData.length; i+=4) {
blueData[i] -= (blueData[i] - 255);
blueData[i+1] -= (blueData[i+1] - 255);
}
blueImage.data = blueData;
// Draw the pixels onto the visible canvas
disp.putImageData(blueImage,(SCREEN_WIDTH - VIDEO_WIDTH)/2 + 25,(SCREEN_HEIGHT - VIDEO_HEIGHT)/2);
How do i merge/blend the redData and blueData before putting it on the canvas ?

The formula you can use to mix two images is fairly simple:
newPixel = imageMainPixel * mixFactor + imageSecPixel * (1 - mixFactor)
Example assuming both buffers are of equal length:
var mixFactor = 0.5; //main image is dominant
//we're using the red buffer as main buffer for this example
for(var i = 0; i < redData.length; i+=4) {
redData[i] = redData[i] * mixFactor + blueData[i] * (1 - mixFactor);
redData[i+1] = redData[i+1] * mixFactor + blueData[i+1] * (1 - mixFactor);
redData[i+2] = redData[i+2] * mixFactor + blueData[i+2] * (1 - mixFactor);
}
Now your red buffer contains the mixed image.
To add an offset you can simply redraw the images with an offset value, for example:
var offset = 20; //pixels
copy.drawImage(originalImage, -offset, 0); // <--
var redImage = copy.getImageData( /*...*/ );
copy.drawImage(originalImage, offset, 0); // -->
var bluImage = copy.getImageData( /*...*/ );

If you have not onlyImageDataobjects, but also sourcecanvaselements, you can use this method.
You can obtain base64-encoded image data by callingtoDataURLcanvas method. Then you can createImageelement from that data and then paste that image to destination canvas viadrawImage.
Example code:
function mergeImageData(callback, sources) {
var canvas = document.createElement('canvas'),
context,
images = Array.prototype.slice.call(arguments, 1).map(function(canvas) {
var img = new Image();
img.onload = onLoad;
img.src = canvas.toDataURL();
return img;
}
),
imgCounter = 0,
widths = [],
heights = [];
function onLoad() {
widths.push(this.width);
heights.push(this.height);
if (++imgCounter == images.length) {
merge();
};
};
function merge() {
canvas.width = Math.max.apply(null, widths);
canvas.height = Math.max.apply(null, heights);
context = canvas.getContext('2d');
images.forEach(function(img) {
context.drawImage(img, 0, 0, img.width, img.height);
}
);
callback(context.getImageData(0, 0, canvas.width, canvas.height));
};
};

what about functions of setting the transmission format 3d - from format full side by side to anaglyph, alternating rows, alternating columns, chessboard, original side by side and 2d from 3d ?

how to draw image sprite using canvas?

I want to draw image sprite using canvas.
The code not working. How to improve my code.
I have some Error.
var canvas = document.getElementById('canvas');
var ctx = canvas.getContext('2d');
var Game = {
draw_image: function(img, sourceX, sourceY, sourceW, sourceH, destX, destY, destW, destH){
var img = new Image(); // Create new img element
img.src = 'images/background.png'; // Set source path
img.onload = function(){
canvas.width = 1000;
canvas.height = 500;
ctx.drawImage(img, sourceX, sourceY, sourceW, sourceH, destX, destY, destW, destH);
};
}
var BACKGROUND = {
image_top: { x: 5, y: 5, w: 1280, h: 480 , dx:0 ,dy:0 ,dw:500 ,dh:500 },
image_body: { x: 5, y: 495, w: 1280, h: 480 , dx:0 ,dy:150 ,dw:500 ,dh:350},
image_bottom: { x: 5, y: 985, w: 1280, h: 480 , dx:0 ,dy:300 ,dw:500 ,dh:200 }
};
for(var n = 0 ; n < BACKGROUND.length ; n++) {
draw_image(nameImage, BACKGROUND[n].x,BACKGROUND[n].y, BACKGROUND[n].w, BACKGROUND[n].h, BACKGROUND[n].dx, BACKGROUND[n].dy, BACKGROUND[n].dw, BACKGROUND[n].dh );
}
};

To create a sprite animation it's important to know how it works.
You need your spritesheet make with pixel precision ( 1 pixel can mess up your animation ).
Like here, the character is always in the same size area, make it simple when you make your sprites.
With this you can make an object for each sprite you have like :
function Sprite(_position, _numberFrame, _framesize, _image, _duration){
this.position = _position; //Array like { x : 0, y : 0 }
this.rendersize = _rendersize; //Array like { width : 50, height : 80 }
this.framesize = _framesize; //Array like { width : 50, height : 80 }
this.image = _image; //Image object
this.chrono = new Chrono(_duration); //Explanation below
}
For more animation precision you can add a chrono who will manage the time of your animation :
function Chrono(_duration){
this.currentTime = 0;
this.lastTime = 0;
this.timeElapse = 0;
this.duration = _duration;
}
Chrono.prototype.countTime = function(){
this.currentTime = Date.now();
if(this.lastTime != 0)
this.timeElapse += this.currentTime - this.lastTime;
this.lastTime = Date.now();
if(this.timeElpase >= this.duration && this.lastTime != 0){
this.timeElapse = 0;
return TRUE;
} else {
return FALSE;
}
}
Then the function to animate your sprite may like :
Sprite.prototype.render = function(){
if(this.position.x <= this.image.width && this.chrono.countTime()){
this.position.x += this.framesize.x;
} else {
this.position.x = 0;
}
ctx.drawImage(this.image,
this.position.x, this.position.y,
this.framesize.width, this.framesize.height,
this.rendersize.width, this.rendersize.height
);
}
I hope I was clear and helpful,
Cheers
PS: Comments for question or optimisation ideas

You have to many problems with this code to make this sprite animation works. I wouldn't go to point any of the problems with your code, but I highly recommend to read a little bit about functions and variable scope before try to write this kind of code.
Another simple (and best for newbies) solution can be to use a canvas framework as EaselJS, with this you can do something like this to animate an sprite:
var data = {
images: ["images/background.png"],
frames: {width:50, height:50},
animations: {run:[0,4], jump:[5,8,"run"]}
};
var animation = new createjs.BitmapAnimation(data);
animation.gotoAndPlay("run");

We Keep Coding

JavaScript is the programming language of the Web.