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'?
This question is related to
javascript
html
image
canvas
html5-canvas
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 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
})
})
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:
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 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.
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 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;
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
Source: Stackoverflow.com