Make Your Own Filter For HTML Canvas
I wanna create my own filter for HTML Canvas. Code Below. I get error: Failed to execute 'putImageData' on 'CanvasRenderingContext2D': parameter 1 is not of type 'ImageData' But
Solution 1:
The error message says it all, you need to pass an ImageData as the first param of putImageData
.
Here you are passing an UInt8ClampedArray.
So you would have to either create a new ImageData from this TypedArray (when the ImageData constructor is available), or to create an empty ImageData from your canvas context and then set all its .data
's values to the new values.
//////////////////////////////
// Distortion Filter //
// Originally by JoelBesada //
//////////////////////////////
class FilterDistortion {
constructor() {
this.name = 'Distortion';
this.defaultValues = {
size: 4,
density: 0.5,
mix: 0.5,
};
this.valueRanges = {
size: { min: 1, max: 10 },
density: { min: 0.0, max: 1.0 },
mix: { min: 0.0, max: 1.0 },
};
}
filter(input, values = this.defaultValues) {
const { width, height } = input;
const inputData = input.data;
const outputData = inputData.slice();
let size = (values.size === undefined)
? this.defaultValues.size
: parseInt(values.size, 10);
if (size < 1) size = 1;
const density = (values.density === undefined)
? this.defaultValues.density
: Number(values.density);
const mix = (values.mix === undefined)
? this.defaultValues.mix
: Number(values.mix);
const radius = size + 1;
const numShapes = parseInt(((((2 * density) / 30) * width) * height) / 2, 10);
for (let i = 0; i < numShapes; i++) {
const sx = (Math.random() * (2 ** 32) & 0x7fffffff) % width;
const sy = (Math.random() * (2 ** 32) & 0x7fffffff) % height;
const rgb2 = [
inputData[(((sy * width) + sx) * 4) + 0],
inputData[(((sy * width) + sx) * 4) + 1],
inputData[(((sy * width) + sx) * 4) + 2],
inputData[(((sy * width) + sx) * 4) + 3],
];
for (let x = sx - radius; x < sx + radius + 1; x++) {
for (let y = sy - radius; y < sy + radius + 1; y++) {
if (x >= 0 && x < width && y >= 0 && y < height) {
const rgb1 = [
outputData[(((y * width) + x) * 4) + 0],
outputData[(((y * width) + x) * 4) + 1],
outputData[(((y * width) + x) * 4) + 2],
outputData[(((y * width) + x) * 4) + 3],
];
const mixedRGB = this.mixColors(mix, rgb1, rgb2);
for (let k = 0; k < 3; k++) {
outputData[(((y * width) + x) * 4) + k] = mixedRGB[k];
}
}
}
}
}
return outputData;
}
linearInterpolate(t, a, b) {
return a + (t * (b - a));
}
mixColors(t, rgb1, rgb2) {
const r = this.linearInterpolate(t, rgb1[0], rgb2[0]);
const g = this.linearInterpolate(t, rgb1[1], rgb2[1]);
const b = this.linearInterpolate(t, rgb1[2], rgb2[2]);
const a = this.linearInterpolate(t, rgb1[3], rgb2[3]);
return [r, g, b, a];
}
}
/////////////////
// Driver Code //
/////////////////
var img = new Image(); img.crossOrigin=1; img.onload = draw; img.src = "//i.imgur.com/Kzz84cr.png";
function draw() {
c.width = this.width; c.height = this.height;
var ctx = c.getContext("2d");
// main loop
ctx.drawImage(this, 0, 0); // draw video frame
var data = ctx.getImageData(0, 0, c.width, c.height);
var distortedData = new FilterDistortion().filter(data);
var distortedImg;
try{
distortedImg = new window.ImageData(distortedData, c.width, c.height);
}
catch(e) {
distortedImg = ctx.createImageData(c.width, c.height);
distortedImg.data.set(distortedData);
}
ctx.putImageData(distortedImg, 0, 0);
ctx.globalCompositeOperation = "source-over"; // "reset"
// rinse, repeat
}
<canvas id=c></canvas>
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