Fix sharpen image
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C85297
parent
2020d9c444
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dd98f33520
@ -1,251 +0,0 @@
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/**
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* Image manipulation resources
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*
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* @author j433866 [j433866@gmail.com]
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* @copyright Crown Copyright 2019
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* @license Apache-2.0
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*/
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import OperationError from "../errors/OperationError.mjs";
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/**
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* Gaussian blurs an image.
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*
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* @param {jimp} input
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* @param {number} radius
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* @param {boolean} fast
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* @returns {jimp}
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*/
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export function gaussianBlur (input, radius) {
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try {
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// From http://blog.ivank.net/fastest-gaussian-blur.html
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const boxes = boxesForGauss(radius, 3);
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for (let i = 0; i < 3; i++) {
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input = boxBlur(input, (boxes[i] - 1) / 2);
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}
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} catch (err) {
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throw new OperationError(`Error blurring image. (${err})`);
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}
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return input;
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}
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/**
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*
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* @param {number} radius
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* @param {number} numBoxes
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* @returns {Array}
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*/
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function boxesForGauss(radius, numBoxes) {
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const idealWidth = Math.sqrt((12 * radius * radius / numBoxes) + 1);
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let wl = Math.floor(idealWidth);
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if (wl % 2 === 0) {
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wl--;
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}
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const wu = wl + 2;
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const mIdeal = (12 * radius * radius - numBoxes * wl * wl - 4 * numBoxes * wl - 3 * numBoxes) / (-4 * wl - 4);
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const m = Math.round(mIdeal);
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const sizes = [];
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for (let i = 0; i < numBoxes; i++) {
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sizes.push(i < m ? wl : wu);
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}
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return sizes;
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}
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/**
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* Applies a box blur effect to the image
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*
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* @param {jimp} source
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* @param {number} radius
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* @returns {jimp}
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*/
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function boxBlur (source, radius) {
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const width = source.bitmap.width;
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const height = source.bitmap.height;
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let output = source.clone();
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output = boxBlurH(source, output, width, height, radius);
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source = boxBlurV(output, source, width, height, radius);
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return source;
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}
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/**
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* Applies the horizontal blur
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*
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* @param {jimp} source
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* @param {jimp} output
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* @param {number} width
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* @param {number} height
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* @param {number} radius
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* @returns {jimp}
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*/
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function boxBlurH (source, output, width, height, radius) {
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const iarr = 1 / (radius + radius + 1);
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for (let i = 0; i < height; i++) {
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let ti = 0,
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li = ti,
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ri = ti + radius;
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const idx = source.getPixelIndex(ti, i);
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const firstValRed = source.bitmap.data[idx],
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firstValGreen = source.bitmap.data[idx + 1],
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firstValBlue = source.bitmap.data[idx + 2],
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firstValAlpha = source.bitmap.data[idx + 3];
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const lastIdx = source.getPixelIndex(width - 1, i),
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lastValRed = source.bitmap.data[lastIdx],
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lastValGreen = source.bitmap.data[lastIdx + 1],
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lastValBlue = source.bitmap.data[lastIdx + 2],
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lastValAlpha = source.bitmap.data[lastIdx + 3];
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let red = (radius + 1) * firstValRed;
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let green = (radius + 1) * firstValGreen;
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let blue = (radius + 1) * firstValBlue;
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let alpha = (radius + 1) * firstValAlpha;
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for (let j = 0; j < radius; j++) {
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const jIdx = source.getPixelIndex(ti + j, i);
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red += source.bitmap.data[jIdx];
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green += source.bitmap.data[jIdx + 1];
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blue += source.bitmap.data[jIdx + 2];
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alpha += source.bitmap.data[jIdx + 3];
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}
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for (let j = 0; j <= radius; j++) {
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const jIdx = source.getPixelIndex(ri++, i);
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red += source.bitmap.data[jIdx] - firstValRed;
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green += source.bitmap.data[jIdx + 1] - firstValGreen;
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blue += source.bitmap.data[jIdx + 2] - firstValBlue;
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alpha += source.bitmap.data[jIdx + 3] - firstValAlpha;
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const tiIdx = source.getPixelIndex(ti++, i);
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output.bitmap.data[tiIdx] = Math.round(red * iarr);
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output.bitmap.data[tiIdx + 1] = Math.round(green * iarr);
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output.bitmap.data[tiIdx + 2] = Math.round(blue * iarr);
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output.bitmap.data[tiIdx + 3] = Math.round(alpha * iarr);
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}
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for (let j = radius + 1; j < width - radius; j++) {
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const riIdx = source.getPixelIndex(ri++, i);
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const liIdx = source.getPixelIndex(li++, i);
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red += source.bitmap.data[riIdx] - source.bitmap.data[liIdx];
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green += source.bitmap.data[riIdx + 1] - source.bitmap.data[liIdx + 1];
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blue += source.bitmap.data[riIdx + 2] - source.bitmap.data[liIdx + 2];
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alpha += source.bitmap.data[riIdx + 3] - source.bitmap.data[liIdx + 3];
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const tiIdx = source.getPixelIndex(ti++, i);
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output.bitmap.data[tiIdx] = Math.round(red * iarr);
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output.bitmap.data[tiIdx + 1] = Math.round(green * iarr);
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output.bitmap.data[tiIdx + 2] = Math.round(blue * iarr);
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output.bitmap.data[tiIdx + 3] = Math.round(alpha * iarr);
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}
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for (let j = width - radius; j < width; j++) {
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const liIdx = source.getPixelIndex(li++, i);
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red += lastValRed - source.bitmap.data[liIdx];
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green += lastValGreen - source.bitmap.data[liIdx + 1];
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blue += lastValBlue - source.bitmap.data[liIdx + 2];
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alpha += lastValAlpha - source.bitmap.data[liIdx + 3];
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const tiIdx = source.getPixelIndex(ti++, i);
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output.bitmap.data[tiIdx] = Math.round(red * iarr);
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output.bitmap.data[tiIdx + 1] = Math.round(green * iarr);
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output.bitmap.data[tiIdx + 2] = Math.round(blue * iarr);
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output.bitmap.data[tiIdx + 3] = Math.round(alpha * iarr);
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}
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}
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return output;
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}
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/**
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* Applies the vertical blur
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*
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* @param {jimp} source
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* @param {jimp} output
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* @param {number} width
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* @param {number} height
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* @param {number} radius
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* @returns {jimp}
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*/
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function boxBlurV (source, output, width, height, radius) {
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const iarr = 1 / (radius + radius + 1);
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for (let i = 0; i < width; i++) {
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let ti = 0,
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li = ti,
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ri = ti + radius;
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const idx = source.getPixelIndex(i, ti);
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const firstValRed = source.bitmap.data[idx],
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firstValGreen = source.bitmap.data[idx + 1],
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firstValBlue = source.bitmap.data[idx + 2],
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firstValAlpha = source.bitmap.data[idx + 3];
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const lastIdx = source.getPixelIndex(i, height - 1),
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lastValRed = source.bitmap.data[lastIdx],
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lastValGreen = source.bitmap.data[lastIdx + 1],
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lastValBlue = source.bitmap.data[lastIdx + 2],
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lastValAlpha = source.bitmap.data[lastIdx + 3];
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let red = (radius + 1) * firstValRed;
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let green = (radius + 1) * firstValGreen;
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let blue = (radius + 1) * firstValBlue;
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let alpha = (radius + 1) * firstValAlpha;
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for (let j = 0; j < radius; j++) {
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const jIdx = source.getPixelIndex(i, ti + j);
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red += source.bitmap.data[jIdx];
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green += source.bitmap.data[jIdx + 1];
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blue += source.bitmap.data[jIdx + 2];
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alpha += source.bitmap.data[jIdx + 3];
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}
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for (let j = 0; j <= radius; j++) {
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const riIdx = source.getPixelIndex(i, ri++);
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red += source.bitmap.data[riIdx] - firstValRed;
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green += source.bitmap.data[riIdx + 1] - firstValGreen;
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blue += source.bitmap.data[riIdx + 2] - firstValBlue;
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alpha += source.bitmap.data[riIdx + 3] - firstValAlpha;
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const tiIdx = source.getPixelIndex(i, ti++);
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output.bitmap.data[tiIdx] = Math.round(red * iarr);
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output.bitmap.data[tiIdx + 1] = Math.round(green * iarr);
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output.bitmap.data[tiIdx + 2] = Math.round(blue * iarr);
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output.bitmap.data[tiIdx + 3] = Math.round(alpha * iarr);
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}
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for (let j = radius + 1; j < height - radius; j++) {
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const riIdx = source.getPixelIndex(i, ri++);
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const liIdx = source.getPixelIndex(i, li++);
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red += source.bitmap.data[riIdx] - source.bitmap.data[liIdx];
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green += source.bitmap.data[riIdx + 1] - source.bitmap.data[liIdx + 1];
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blue += source.bitmap.data[riIdx + 2] - source.bitmap.data[liIdx + 2];
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alpha += source.bitmap.data[riIdx + 3] - source.bitmap.data[liIdx + 3];
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const tiIdx = source.getPixelIndex(i, ti++);
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output.bitmap.data[tiIdx] = Math.round(red * iarr);
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output.bitmap.data[tiIdx + 1] = Math.round(green * iarr);
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output.bitmap.data[tiIdx + 2] = Math.round(blue * iarr);
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output.bitmap.data[tiIdx + 3] = Math.round(alpha * iarr);
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}
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for (let j = height - radius; j < height; j++) {
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const liIdx = source.getPixelIndex(i, li++);
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red += lastValRed - source.bitmap.data[liIdx];
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green += lastValGreen - source.bitmap.data[liIdx + 1];
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blue += lastValBlue - source.bitmap.data[liIdx + 2];
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alpha += lastValAlpha - source.bitmap.data[liIdx + 3];
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const tiIdx = source.getPixelIndex(i, ti++);
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output.bitmap.data[tiIdx] = Math.round(red * iarr);
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output.bitmap.data[tiIdx + 1] = Math.round(green * iarr);
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output.bitmap.data[tiIdx + 2] = Math.round(blue * iarr);
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output.bitmap.data[tiIdx + 3] = Math.round(alpha * iarr);
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}
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}
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return output;
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}
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@ -9,7 +9,6 @@ import OperationError from "../errors/OperationError.mjs";
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import { isWorkerEnvironment } from "../Utils.mjs";
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import { isImage } from "../lib/FileType.mjs";
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import { toBase64 } from "../lib/Base64.mjs";
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import { gaussianBlur } from "../lib/ImageManipulation.mjs";
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import { Jimp, JimpMime } from "jimp";
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/**
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@ -73,7 +72,7 @@ class BlurImage extends Operation {
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case "Gaussian":
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if (isWorkerEnvironment())
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self.sendStatusMessage("Gaussian blurring image...");
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image = gaussianBlur(image, blurAmount);
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image.gaussian(blurAmount);
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break;
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}
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@ -8,7 +8,6 @@ import Operation from "../Operation.mjs";
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import OperationError from "../errors/OperationError.mjs";
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import { isImage } from "../lib/FileType.mjs";
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import { toBase64 } from "../lib/Base64.mjs";
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import { gaussianBlur } from "../lib/ImageManipulation.mjs";
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import { isWorkerEnvironment } from "../Utils.mjs";
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import { Jimp, JimpMime } from "jimp";
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@ -81,7 +80,7 @@ class SharpenImage extends Operation {
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self.sendStatusMessage(
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"Sharpening image... (Blurring cloned image)",
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);
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const blurImage = gaussianBlur(image.clone(), radius);
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const blurImage = image.clone().gaussian(radius);
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if (isWorkerEnvironment())
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self.sendStatusMessage(
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@ -62,7 +62,9 @@ module.exports = {
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testOp(browser, "Bit shift right", "test input", ":29:\u0010478::");
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testOp(browser, "Blowfish Decrypt", "10884e15427dd84ec35204e9c8e921ae", "test_output", [{"option": "Hex", "string": "1234567801234567"}, {"option": "Hex", "string": "0011223344556677"}, "CBC", "Hex", "Raw"]);
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testOp(browser, "Blowfish Encrypt", "test input", "f0fadbd1d90d774f714248cf26b96410", [{"option": "Hex", "string": "1234567801234567"}, {"option": "Hex", "string": "0011223344556677"}, "CBC", "Raw", "Hex"]);
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testOp(browser, ["From Hex", "Blur Image", "To Base64"], Images.PNG_HEX, Images.PNG_BLUR_B64);
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testOp(browser, ["From Hex", "Blur Image", "SHA2"], Images.PNG_HEX, "24f2e89f3e00cc35f551bbc48ea82e76474946ce0282183494d1ca3d3b0012c27b6102c4368ae056dc7fecb6df7886d86ff3d29b7e5965493f30c371eee9a24e");
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testOp(browser, ["From Hex", "Blur Image", "SHA2"], Images.PNG_HEX, "2c49d89fc10c94352c9a19f82de353c37928831d6f976a6b36eb918825a0ba027980801838228a4a0da63f1886e4fa59b6666f992ad2d2b7d4622253dc034052", [[], [5, "Gaussian"], []]);
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testOp(browser, ["From Hex", "Sharpen Image", "SHA2"], Images.PNG_HEX, "acc7027642c2eeb67d7356a80ed8a1bdce9adabf656ea1294e47723f506626a7aa41f1660fa844a1e1e83b17180017ab0d5bccd7f6a341692832020dc887eaa5");
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testOpHtml(browser, "Bombe", "XTSYN WAEUG EZALY NRQIM AMLZX MFUOD AWXLY LZCUZ QOQBQ JLCPK NDDRW F", "table tr:last-child td:first-child", "ECG", ["3-rotor", "LEYJVCNIXWPBQMDRTAKZGFUHOS", "BDFHJLCPRTXVZNYEIWGAKMUSQO<W", "AJDKSIRUXBLHWTMCQGZNPYFVOE<F", "ESOVPZJAYQUIRHXLNFTGKDCMWB<K", "AY BR CU DH EQ FS GL IP JX KN MO TZ VW", "HELLO CYBER CHEFU SER", 0, true]);
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testOp(browser, ["Bzip2 Compress", "To Hex"], "test input", "42 5a 68 39 31 41 59 26 53 59 cf 96 82 1d 00 00 03 91 80 40 00 02 21 4e 00 20 00 21 90 c2 10 c0 88 33 92 8e df 17 72 45 38 50 90 cf 96 82 1d");
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testOp(browser, ["From Hex", "Bzip2 Decompress"], "425a68393141592653597b0884b7000003038000008200ce00200021a647a4218013709517c5dc914e14241ec2212dc0", "test_output", [[], [true]]);
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@ -24,12 +24,6 @@ export const PNG_HEX = "89504e470d0a1a0a0000000d49484452000000200000002008060000
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*/
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export const PNG_CHEF_B64 = "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";
|
||||
|
||||
/**
|
||||
* The CyberChef logo with blur
|
||||
* 32x32
|
||||
*/
|
||||
export const PNG_BLUR_B64 = "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";
|
||||
|
||||
/**
|
||||
* Sunglasses smiley
|
||||
* 32x32
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user