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v1.4.14
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14 changed files with 1010 additions and 267 deletions
935
libs/rgbquant.js
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935
libs/rgbquant.js
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/*
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* Copyright (c) 2015, Leon Sorokin
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* All rights reserved. (MIT Licensed)
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*
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* RgbQuant.js - an image quantization lib
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*/
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(function(){
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function RgbQuant(opts) {
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opts = opts || {};
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// 1 = by global population, 2 = subregion population threshold
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this.method = opts.method || 2;
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// desired final palette size
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this.colors = opts.colors || 256;
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// # of highest-frequency colors to start with for palette reduction
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this.initColors = opts.initColors || 4096;
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// color-distance threshold for initial reduction pass
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this.initDist = opts.initDist || 0.01;
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// subsequent passes threshold
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this.distIncr = opts.distIncr || 0.005;
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// palette grouping
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this.hueGroups = opts.hueGroups || 10;
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this.satGroups = opts.satGroups || 10;
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this.lumGroups = opts.lumGroups || 10;
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// if > 0, enables hues stats and min-color retention per group
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this.minHueCols = opts.minHueCols || 0;
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// HueStats instance
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this.hueStats = this.minHueCols ? new HueStats(this.hueGroups, this.minHueCols) : null;
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// subregion partitioning box size
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this.boxSize = opts.boxSize || [64,64];
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// number of same pixels required within box for histogram inclusion
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this.boxPxls = opts.boxPxls || 2;
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// palette locked indicator
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this.palLocked = false;
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// palette sort order
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// this.sortPal = ['hue-','lum-','sat-'];
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// dithering/error diffusion kernel name
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this.dithKern = opts.dithKern || null;
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// dither serpentine pattern
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this.dithSerp = opts.dithSerp || false;
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// minimum color difference (0-1) needed to dither
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this.dithDelta = opts.dithDelta || 0;
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// accumulated histogram
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this.histogram = {};
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// palette - rgb triplets
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this.idxrgb = opts.palette ? opts.palette.slice(0) : [];
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// palette - int32 vals
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this.idxi32 = [];
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// reverse lookup {i32:idx}
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this.i32idx = {};
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// {i32:rgb}
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this.i32rgb = {};
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// enable color caching (also incurs overhead of cache misses and cache building)
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this.useCache = opts.useCache !== false;
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// min color occurance count needed to qualify for caching
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this.cacheFreq = opts.cacheFreq || 10;
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// allows pre-defined palettes to be re-indexed (enabling palette compacting and sorting)
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this.reIndex = opts.reIndex || this.idxrgb.length == 0;
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// selection of color-distance equation
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this.colorDist = opts.colorDist == "manhattan" ? distManhattan : distEuclidean;
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// if pre-defined palette, build lookups
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if (this.idxrgb.length > 0) {
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var self = this;
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this.idxrgb.forEach(function(rgb, i) {
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var i32 = (
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(255 << 24) | // alpha
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(rgb[2] << 16) | // blue
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(rgb[1] << 8) | // green
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rgb[0] // red
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) >>> 0;
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self.idxi32[i] = i32;
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self.i32idx[i32] = i;
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self.i32rgb[i32] = rgb;
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});
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}
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}
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// gathers histogram info
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RgbQuant.prototype.sample = function sample(img, width) {
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if (this.palLocked)
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throw "Cannot sample additional images, palette already assembled.";
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var data = getImageData(img, width);
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switch (this.method) {
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case 1: this.colorStats1D(data.buf32); break;
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case 2: this.colorStats2D(data.buf32, data.width); break;
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}
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};
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// image quantizer
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// todo: memoize colors here also
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// @retType: 1 - Uint8Array (default), 2 - Indexed array, 3 - Match @img type (unimplemented, todo)
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RgbQuant.prototype.reduce = function reduce(img, retType, dithKern, dithSerp) {
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if (!this.palLocked)
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this.buildPal();
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dithKern = dithKern || this.dithKern;
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dithSerp = typeof dithSerp != "undefined" ? dithSerp : this.dithSerp;
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retType = retType || 1;
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// reduce w/dither
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if (dithKern)
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var out32 = this.dither(img, dithKern, dithSerp);
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else {
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var data = getImageData(img),
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buf32 = data.buf32,
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len = buf32.length,
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out32 = new Uint32Array(len);
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for (var i = 0; i < len; i++) {
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var i32 = buf32[i];
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out32[i] = this.nearestColor(i32);
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}
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}
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if (retType == 1)
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return new Uint8Array(out32.buffer);
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if (retType == 2) {
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var out = [],
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len = out32.length;
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for (var i = 0; i < len; i++) {
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var i32 = out32[i];
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out[i] = this.i32idx[i32];
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}
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return out;
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}
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};
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// adapted from http://jsbin.com/iXofIji/2/edit by PAEz
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RgbQuant.prototype.dither = function(img, kernel, serpentine) {
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// http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code/
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var kernels = {
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FloydSteinberg: [
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[7 / 16, 1, 0],
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[3 / 16, -1, 1],
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[5 / 16, 0, 1],
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[1 / 16, 1, 1]
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],
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FalseFloydSteinberg: [
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[3 / 8, 1, 0],
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[3 / 8, 0, 1],
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[2 / 8, 1, 1]
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],
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Stucki: [
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[8 / 42, 1, 0],
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[4 / 42, 2, 0],
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[2 / 42, -2, 1],
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[4 / 42, -1, 1],
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[8 / 42, 0, 1],
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[4 / 42, 1, 1],
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[2 / 42, 2, 1],
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[1 / 42, -2, 2],
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[2 / 42, -1, 2],
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[4 / 42, 0, 2],
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[2 / 42, 1, 2],
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[1 / 42, 2, 2]
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],
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Atkinson: [
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[1 / 8, 1, 0],
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[1 / 8, 2, 0],
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[1 / 8, -1, 1],
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[1 / 8, 0, 1],
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[1 / 8, 1, 1],
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[1 / 8, 0, 2]
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],
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Jarvis: [ // Jarvis, Judice, and Ninke / JJN?
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[7 / 48, 1, 0],
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[5 / 48, 2, 0],
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[3 / 48, -2, 1],
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[5 / 48, -1, 1],
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[7 / 48, 0, 1],
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[5 / 48, 1, 1],
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[3 / 48, 2, 1],
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[1 / 48, -2, 2],
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[3 / 48, -1, 2],
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[5 / 48, 0, 2],
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[3 / 48, 1, 2],
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[1 / 48, 2, 2]
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],
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Burkes: [
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[8 / 32, 1, 0],
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[4 / 32, 2, 0],
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[2 / 32, -2, 1],
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[4 / 32, -1, 1],
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[8 / 32, 0, 1],
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[4 / 32, 1, 1],
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[2 / 32, 2, 1],
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],
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Sierra: [
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[5 / 32, 1, 0],
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[3 / 32, 2, 0],
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[2 / 32, -2, 1],
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[4 / 32, -1, 1],
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[5 / 32, 0, 1],
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[4 / 32, 1, 1],
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[2 / 32, 2, 1],
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[2 / 32, -1, 2],
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[3 / 32, 0, 2],
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[2 / 32, 1, 2],
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],
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TwoSierra: [
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[4 / 16, 1, 0],
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[3 / 16, 2, 0],
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[1 / 16, -2, 1],
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[2 / 16, -1, 1],
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[3 / 16, 0, 1],
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[2 / 16, 1, 1],
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[1 / 16, 2, 1],
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],
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SierraLite: [
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[2 / 4, 1, 0],
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[1 / 4, -1, 1],
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[1 / 4, 0, 1],
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],
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};
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if (!kernel || !kernels[kernel]) {
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throw 'Unknown dithering kernel: ' + kernel;
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}
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var ds = kernels[kernel];
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var data = getImageData(img),
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// buf8 = data.buf8,
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buf32 = data.buf32,
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width = data.width,
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height = data.height,
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len = buf32.length;
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var dir = serpentine ? -1 : 1;
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for (var y = 0; y < height; y++) {
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if (serpentine)
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dir = dir * -1;
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var lni = y * width;
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for (var x = (dir == 1 ? 0 : width - 1), xend = (dir == 1 ? width : 0); x !== xend; x += dir) {
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// Image pixel
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var idx = lni + x,
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i32 = buf32[idx],
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r1 = (i32 & 0xff),
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g1 = (i32 & 0xff00) >> 8,
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b1 = (i32 & 0xff0000) >> 16;
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// Reduced pixel
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var i32x = this.nearestColor(i32),
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r2 = (i32x & 0xff),
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g2 = (i32x & 0xff00) >> 8,
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b2 = (i32x & 0xff0000) >> 16;
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buf32[idx] =
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(255 << 24) | // alpha
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(b2 << 16) | // blue
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(g2 << 8) | // green
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r2;
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// dithering strength
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if (this.dithDelta) {
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var dist = this.colorDist([r1, g1, b1], [r2, g2, b2]);
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if (dist < this.dithDelta)
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continue;
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}
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// Component distance
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var er = r1 - r2,
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eg = g1 - g2,
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eb = b1 - b2;
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for (var i = (dir == 1 ? 0 : ds.length - 1), end = (dir == 1 ? ds.length : 0); i !== end; i += dir) {
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var x1 = ds[i][1] * dir,
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y1 = ds[i][2];
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var lni2 = y1 * width;
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if (x1 + x >= 0 && x1 + x < width && y1 + y >= 0 && y1 + y < height) {
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var d = ds[i][0];
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var idx2 = idx + (lni2 + x1);
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var r3 = (buf32[idx2] & 0xff),
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g3 = (buf32[idx2] & 0xff00) >> 8,
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b3 = (buf32[idx2] & 0xff0000) >> 16;
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var r4 = Math.max(0, Math.min(255, r3 + er * d)),
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g4 = Math.max(0, Math.min(255, g3 + eg * d)),
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b4 = Math.max(0, Math.min(255, b3 + eb * d));
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buf32[idx2] =
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(255 << 24) | // alpha
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(b4 << 16) | // blue
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(g4 << 8) | // green
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r4; // red
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}
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}
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}
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}
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return buf32;
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};
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// reduces histogram to palette, remaps & memoizes reduced colors
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RgbQuant.prototype.buildPal = function buildPal(noSort) {
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if (this.palLocked || this.idxrgb.length > 0 && this.idxrgb.length <= this.colors) return;
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var histG = this.histogram,
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sorted = sortedHashKeys(histG, true);
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if (sorted.length == 0)
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throw "Nothing has been sampled, palette cannot be built.";
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switch (this.method) {
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case 1:
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var cols = this.initColors,
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last = sorted[cols - 1],
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freq = histG[last];
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var idxi32 = sorted.slice(0, cols);
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// add any cut off colors with same freq as last
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var pos = cols, len = sorted.length;
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while (pos < len && histG[sorted[pos]] == freq)
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idxi32.push(sorted[pos++]);
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// inject min huegroup colors
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if (this.hueStats)
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this.hueStats.inject(idxi32);
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break;
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case 2:
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var idxi32 = sorted;
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break;
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}
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// int32-ify values
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idxi32 = idxi32.map(function(v){return +v;});
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this.reducePal(idxi32);
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if (!noSort && this.reIndex)
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this.sortPal();
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// build cache of top histogram colors
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if (this.useCache)
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this.cacheHistogram(idxi32);
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this.palLocked = true;
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};
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RgbQuant.prototype.palette = function palette(tuples, noSort) {
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this.buildPal(noSort);
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return tuples ? this.idxrgb : new Uint8Array((new Uint32Array(this.idxi32)).buffer);
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};
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RgbQuant.prototype.prunePal = function prunePal(keep) {
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var i32;
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for (var j = 0; j < this.idxrgb.length; j++) {
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if (!keep[j]) {
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i32 = this.idxi32[j];
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this.idxrgb[j] = null;
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this.idxi32[j] = null;
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delete this.i32idx[i32];
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}
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}
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// compact
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if (this.reIndex) {
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var idxrgb = [],
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idxi32 = [],
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i32idx = {};
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for (var j = 0, i = 0; j < this.idxrgb.length; j++) {
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if (this.idxrgb[j]) {
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i32 = this.idxi32[j];
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idxrgb[i] = this.idxrgb[j];
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i32idx[i32] = i;
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idxi32[i] = i32;
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i++;
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}
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}
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this.idxrgb = idxrgb;
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this.idxi32 = idxi32;
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this.i32idx = i32idx;
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}
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};
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// reduces similar colors from an importance-sorted Uint32 rgba array
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RgbQuant.prototype.reducePal = function reducePal(idxi32) {
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// if pre-defined palette's length exceeds target
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if (this.idxrgb.length > this.colors) {
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// quantize histogram to existing palette
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var len = idxi32.length, keep = {}, uniques = 0, idx, pruned = false;
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for (var i = 0; i < len; i++) {
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// palette length reached, unset all remaining colors (sparse palette)
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if (uniques == this.colors && !pruned) {
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this.prunePal(keep);
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pruned = true;
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}
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idx = this.nearestIndex(idxi32[i]);
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if (uniques < this.colors && !keep[idx]) {
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keep[idx] = true;
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uniques++;
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}
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}
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if (!pruned) {
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this.prunePal(keep);
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pruned = true;
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}
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}
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// reduce histogram to create initial palette
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else {
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// build full rgb palette
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var idxrgb = idxi32.map(function(i32) {
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return [
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(i32 & 0xff),
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(i32 & 0xff00) >> 8,
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(i32 & 0xff0000) >> 16,
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];
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});
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var len = idxrgb.length,
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palLen = len,
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thold = this.initDist;
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// palette already at or below desired length
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if (palLen > this.colors) {
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while (palLen > this.colors) {
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var memDist = [];
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// iterate palette
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for (var i = 0; i < len; i++) {
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var pxi = idxrgb[i], i32i = idxi32[i];
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if (!pxi) continue;
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for (var j = i + 1; j < len; j++) {
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var pxj = idxrgb[j], i32j = idxi32[j];
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if (!pxj) continue;
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var dist = this.colorDist(pxi, pxj);
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if (dist < thold) {
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// store index,rgb,dist
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memDist.push([j, pxj, i32j, dist]);
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// kill squashed value
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delete(idxrgb[j]);
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palLen--;
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}
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}
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}
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// palette reduction pass
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// console.log("palette length: " + palLen);
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// if palette is still much larger than target, increment by larger initDist
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thold += (palLen > this.colors * 3) ? this.initDist : this.distIncr;
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}
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// if palette is over-reduced, re-add removed colors with largest distances from last round
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if (palLen < this.colors) {
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// sort descending
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sort.call(memDist, function(a,b) {
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return b[3] - a[3];
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});
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var k = 0;
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while (palLen < this.colors) {
|
||||
// re-inject rgb into final palette
|
||||
idxrgb[memDist[k][0]] = memDist[k][1];
|
||||
|
||||
palLen++;
|
||||
k++;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
var len = idxrgb.length;
|
||||
for (var i = 0; i < len; i++) {
|
||||
if (!idxrgb[i]) continue;
|
||||
|
||||
this.idxrgb.push(idxrgb[i]);
|
||||
this.idxi32.push(idxi32[i]);
|
||||
|
||||
this.i32idx[idxi32[i]] = this.idxi32.length - 1;
|
||||
this.i32rgb[idxi32[i]] = idxrgb[i];
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// global top-population
|
||||
RgbQuant.prototype.colorStats1D = function colorStats1D(buf32) {
|
||||
var histG = this.histogram,
|
||||
num = 0, col,
|
||||
len = buf32.length;
|
||||
|
||||
for (var i = 0; i < len; i++) {
|
||||
col = buf32[i];
|
||||
|
||||
// skip transparent
|
||||
if ((col & 0xff000000) >> 24 == 0) continue;
|
||||
|
||||
// collect hue stats
|
||||
if (this.hueStats)
|
||||
this.hueStats.check(col);
|
||||
|
||||
if (col in histG)
|
||||
histG[col]++;
|
||||
else
|
||||
histG[col] = 1;
|
||||
}
|
||||
};
|
||||
|
||||
// population threshold within subregions
|
||||
// FIXME: this can over-reduce (few/no colors same?), need a way to keep
|
||||
// important colors that dont ever reach local thresholds (gradients?)
|
||||
RgbQuant.prototype.colorStats2D = function colorStats2D(buf32, width) {
|
||||
var boxW = this.boxSize[0],
|
||||
boxH = this.boxSize[1],
|
||||
area = boxW * boxH,
|
||||
boxes = makeBoxes(width, buf32.length / width, boxW, boxH),
|
||||
histG = this.histogram,
|
||||
self = this;
|
||||
|
||||
boxes.forEach(function(box) {
|
||||
var effc = Math.max(Math.round((box.w * box.h) / area) * self.boxPxls, 2),
|
||||
histL = {}, col;
|
||||
|
||||
iterBox(box, width, function(i) {
|
||||
col = buf32[i];
|
||||
|
||||
// skip transparent
|
||||
if ((col & 0xff000000) >> 24 == 0) return;
|
||||
|
||||
// collect hue stats
|
||||
if (self.hueStats)
|
||||
self.hueStats.check(col);
|
||||
|
||||
if (col in histG)
|
||||
histG[col]++;
|
||||
else if (col in histL) {
|
||||
if (++histL[col] >= effc)
|
||||
histG[col] = histL[col];
|
||||
}
|
||||
else
|
||||
histL[col] = 1;
|
||||
});
|
||||
});
|
||||
|
||||
if (this.hueStats)
|
||||
this.hueStats.inject(histG);
|
||||
};
|
||||
|
||||
// TODO: group very low lum and very high lum colors
|
||||
// TODO: pass custom sort order
|
||||
RgbQuant.prototype.sortPal = function sortPal() {
|
||||
var self = this;
|
||||
|
||||
this.idxi32.sort(function(a,b) {
|
||||
var idxA = self.i32idx[a],
|
||||
idxB = self.i32idx[b],
|
||||
rgbA = self.idxrgb[idxA],
|
||||
rgbB = self.idxrgb[idxB];
|
||||
|
||||
var hslA = rgb2hsl(rgbA[0],rgbA[1],rgbA[2]),
|
||||
hslB = rgb2hsl(rgbB[0],rgbB[1],rgbB[2]);
|
||||
|
||||
// sort all grays + whites together
|
||||
var hueA = (rgbA[0] == rgbA[1] && rgbA[1] == rgbA[2]) ? -1 : hueGroup(hslA.h, self.hueGroups);
|
||||
var hueB = (rgbB[0] == rgbB[1] && rgbB[1] == rgbB[2]) ? -1 : hueGroup(hslB.h, self.hueGroups);
|
||||
|
||||
var hueDiff = hueB - hueA;
|
||||
if (hueDiff) return -hueDiff;
|
||||
|
||||
var lumDiff = lumGroup(+hslB.l.toFixed(2)) - lumGroup(+hslA.l.toFixed(2));
|
||||
if (lumDiff) return -lumDiff;
|
||||
|
||||
var satDiff = satGroup(+hslB.s.toFixed(2)) - satGroup(+hslA.s.toFixed(2));
|
||||
if (satDiff) return -satDiff;
|
||||
});
|
||||
|
||||
// sync idxrgb & i32idx
|
||||
this.idxi32.forEach(function(i32, i) {
|
||||
self.idxrgb[i] = self.i32rgb[i32];
|
||||
self.i32idx[i32] = i;
|
||||
});
|
||||
};
|
||||
|
||||
// TOTRY: use HUSL - http://boronine.com/husl/
|
||||
RgbQuant.prototype.nearestColor = function nearestColor(i32) {
|
||||
var idx = this.nearestIndex(i32);
|
||||
return idx === null ? 0 : this.idxi32[idx];
|
||||
};
|
||||
|
||||
// TOTRY: use HUSL - http://boronine.com/husl/
|
||||
RgbQuant.prototype.nearestIndex = function nearestIndex(i32) {
|
||||
// alpha 0 returns null index
|
||||
if ((i32 & 0xff000000) >> 24 == 0)
|
||||
return null;
|
||||
|
||||
if (this.useCache && (""+i32) in this.i32idx)
|
||||
return this.i32idx[i32];
|
||||
|
||||
var min = 1000,
|
||||
idx,
|
||||
rgb = [
|
||||
(i32 & 0xff),
|
||||
(i32 & 0xff00) >> 8,
|
||||
(i32 & 0xff0000) >> 16,
|
||||
],
|
||||
len = this.idxrgb.length;
|
||||
|
||||
for (var i = 0; i < len; i++) {
|
||||
if (!this.idxrgb[i]) continue; // sparse palettes
|
||||
|
||||
var dist = this.colorDist(rgb, this.idxrgb[i]);
|
||||
|
||||
if (dist < min) {
|
||||
min = dist;
|
||||
idx = i;
|
||||
}
|
||||
}
|
||||
|
||||
return idx;
|
||||
};
|
||||
|
||||
RgbQuant.prototype.cacheHistogram = function cacheHistogram(idxi32) {
|
||||
for (var i = 0, i32 = idxi32[i]; i < idxi32.length && this.histogram[i32] >= this.cacheFreq; i32 = idxi32[i++])
|
||||
this.i32idx[i32] = this.nearestIndex(i32);
|
||||
};
|
||||
|
||||
function HueStats(numGroups, minCols) {
|
||||
this.numGroups = numGroups;
|
||||
this.minCols = minCols;
|
||||
this.stats = {};
|
||||
|
||||
for (var i = -1; i < numGroups; i++)
|
||||
this.stats[i] = {num: 0, cols: []};
|
||||
|
||||
this.groupsFull = 0;
|
||||
}
|
||||
|
||||
HueStats.prototype.check = function checkHue(i32) {
|
||||
if (this.groupsFull == this.numGroups + 1)
|
||||
this.check = function() {return;};
|
||||
|
||||
var r = (i32 & 0xff),
|
||||
g = (i32 & 0xff00) >> 8,
|
||||
b = (i32 & 0xff0000) >> 16,
|
||||
hg = (r == g && g == b) ? -1 : hueGroup(rgb2hsl(r,g,b).h, this.numGroups),
|
||||
gr = this.stats[hg],
|
||||
min = this.minCols;
|
||||
|
||||
gr.num++;
|
||||
|
||||
if (gr.num > min)
|
||||
return;
|
||||
if (gr.num == min)
|
||||
this.groupsFull++;
|
||||
|
||||
if (gr.num <= min)
|
||||
this.stats[hg].cols.push(i32);
|
||||
};
|
||||
|
||||
HueStats.prototype.inject = function injectHues(histG) {
|
||||
for (var i = -1; i < this.numGroups; i++) {
|
||||
if (this.stats[i].num <= this.minCols) {
|
||||
switch (typeOf(histG)) {
|
||||
case "Array":
|
||||
this.stats[i].cols.forEach(function(col){
|
||||
if (histG.indexOf(col) == -1)
|
||||
histG.push(col);
|
||||
});
|
||||
break;
|
||||
case "Object":
|
||||
this.stats[i].cols.forEach(function(col){
|
||||
if (!histG[col])
|
||||
histG[col] = 1;
|
||||
else
|
||||
histG[col]++;
|
||||
});
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Rec. 709 (sRGB) luma coef
|
||||
var Pr = .2126,
|
||||
Pg = .7152,
|
||||
Pb = .0722;
|
||||
|
||||
// http://alienryderflex.com/hsp.html
|
||||
function rgb2lum(r,g,b) {
|
||||
return Math.sqrt(
|
||||
Pr * r*r +
|
||||
Pg * g*g +
|
||||
Pb * b*b
|
||||
);
|
||||
}
|
||||
|
||||
var rd = 255,
|
||||
gd = 255,
|
||||
bd = 255;
|
||||
|
||||
var euclMax = Math.sqrt(Pr*rd*rd + Pg*gd*gd + Pb*bd*bd);
|
||||
// perceptual Euclidean color distance
|
||||
function distEuclidean(rgb0, rgb1) {
|
||||
var rd = rgb1[0]-rgb0[0],
|
||||
gd = rgb1[1]-rgb0[1],
|
||||
bd = rgb1[2]-rgb0[2];
|
||||
|
||||
return Math.sqrt(Pr*rd*rd + Pg*gd*gd + Pb*bd*bd) / euclMax;
|
||||
}
|
||||
|
||||
var manhMax = Pr*rd + Pg*gd + Pb*bd;
|
||||
// perceptual Manhattan color distance
|
||||
function distManhattan(rgb0, rgb1) {
|
||||
var rd = Math.abs(rgb1[0]-rgb0[0]),
|
||||
gd = Math.abs(rgb1[1]-rgb0[1]),
|
||||
bd = Math.abs(rgb1[2]-rgb0[2]);
|
||||
|
||||
return (Pr*rd + Pg*gd + Pb*bd) / manhMax;
|
||||
}
|
||||
|
||||
// http://rgb2hsl.nichabi.com/javascript-function.php
|
||||
function rgb2hsl(r, g, b) {
|
||||
var max, min, h, s, l, d;
|
||||
r /= 255;
|
||||
g /= 255;
|
||||
b /= 255;
|
||||
max = Math.max(r, g, b);
|
||||
min = Math.min(r, g, b);
|
||||
l = (max + min) / 2;
|
||||
if (max == min) {
|
||||
h = s = 0;
|
||||
} else {
|
||||
d = max - min;
|
||||
s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
|
||||
switch (max) {
|
||||
case r: h = (g - b) / d + (g < b ? 6 : 0); break;
|
||||
case g: h = (b - r) / d + 2; break;
|
||||
case b: h = (r - g) / d + 4; break
|
||||
}
|
||||
h /= 6;
|
||||
}
|
||||
// h = Math.floor(h * 360)
|
||||
// s = Math.floor(s * 100)
|
||||
// l = Math.floor(l * 100)
|
||||
return {
|
||||
h: h,
|
||||
s: s,
|
||||
l: rgb2lum(r,g,b),
|
||||
};
|
||||
}
|
||||
|
||||
function hueGroup(hue, segs) {
|
||||
var seg = 1/segs,
|
||||
haf = seg/2;
|
||||
|
||||
if (hue >= 1 - haf || hue <= haf)
|
||||
return 0;
|
||||
|
||||
for (var i = 1; i < segs; i++) {
|
||||
var mid = i*seg;
|
||||
if (hue >= mid - haf && hue <= mid + haf)
|
||||
return i;
|
||||
}
|
||||
}
|
||||
|
||||
function satGroup(sat) {
|
||||
return sat;
|
||||
}
|
||||
|
||||
function lumGroup(lum) {
|
||||
return lum;
|
||||
}
|
||||
|
||||
function typeOf(val) {
|
||||
return Object.prototype.toString.call(val).slice(8,-1);
|
||||
}
|
||||
|
||||
var sort = isArrSortStable() ? Array.prototype.sort : stableSort;
|
||||
|
||||
// must be used via stableSort.call(arr, fn)
|
||||
function stableSort(fn) {
|
||||
var type = typeOf(this[0]);
|
||||
|
||||
if (type == "Number" || type == "String") {
|
||||
var ord = {}, len = this.length, val;
|
||||
|
||||
for (var i = 0; i < len; i++) {
|
||||
val = this[i];
|
||||
if (ord[val] || ord[val] === 0) continue;
|
||||
ord[val] = i;
|
||||
}
|
||||
|
||||
return this.sort(function(a,b) {
|
||||
return fn(a,b) || ord[a] - ord[b];
|
||||
});
|
||||
}
|
||||
else {
|
||||
var ord = this.map(function(v){return v});
|
||||
|
||||
return this.sort(function(a,b) {
|
||||
return fn(a,b) || ord.indexOf(a) - ord.indexOf(b);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// test if js engine's Array#sort implementation is stable
|
||||
function isArrSortStable() {
|
||||
var str = "abcdefghijklmnopqrstuvwxyz";
|
||||
|
||||
return "xyzvwtursopqmnklhijfgdeabc" == str.split("").sort(function(a,b) {
|
||||
return ~~(str.indexOf(b)/2.3) - ~~(str.indexOf(a)/2.3);
|
||||
}).join("");
|
||||
}
|
||||
|
||||
// returns uniform pixel data from various img
|
||||
// TODO?: if array is passed, createimagedata, createlement canvas? take a pxlen?
|
||||
function getImageData(img, width) {
|
||||
var can, ctx, imgd, buf8, buf32, height;
|
||||
|
||||
switch (typeOf(img)) {
|
||||
case "HTMLImageElement":
|
||||
can = document.createElement("canvas");
|
||||
can.width = img.naturalWidth;
|
||||
can.height = img.naturalHeight;
|
||||
ctx = can.getContext("2d");
|
||||
ctx.drawImage(img,0,0);
|
||||
case "Canvas":
|
||||
case "HTMLCanvasElement":
|
||||
can = can || img;
|
||||
ctx = ctx || can.getContext("2d");
|
||||
case "CanvasRenderingContext2D":
|
||||
ctx = ctx || img;
|
||||
can = can || ctx.canvas;
|
||||
imgd = ctx.getImageData(0, 0, can.width, can.height);
|
||||
case "ImageData":
|
||||
imgd = imgd || img;
|
||||
width = imgd.width;
|
||||
if (typeOf(imgd.data) == "CanvasPixelArray")
|
||||
buf8 = new Uint8Array(imgd.data);
|
||||
else
|
||||
buf8 = imgd.data;
|
||||
case "Array":
|
||||
case "CanvasPixelArray":
|
||||
buf8 = buf8 || new Uint8Array(img);
|
||||
case "Uint8Array":
|
||||
case "Uint8ClampedArray":
|
||||
buf8 = buf8 || img;
|
||||
buf32 = new Uint32Array(buf8.buffer);
|
||||
case "Uint32Array":
|
||||
buf32 = buf32 || img;
|
||||
buf8 = buf8 || new Uint8Array(buf32.buffer);
|
||||
width = width || buf32.length;
|
||||
height = buf32.length / width;
|
||||
}
|
||||
|
||||
return {
|
||||
can: can,
|
||||
ctx: ctx,
|
||||
imgd: imgd,
|
||||
buf8: buf8,
|
||||
buf32: buf32,
|
||||
width: width,
|
||||
height: height,
|
||||
};
|
||||
}
|
||||
|
||||
// partitions a rect of wid x hgt into
|
||||
// array of bboxes of w0 x h0 (or less)
|
||||
function makeBoxes(wid, hgt, w0, h0) {
|
||||
var wnum = ~~(wid/w0), wrem = wid%w0,
|
||||
hnum = ~~(hgt/h0), hrem = hgt%h0,
|
||||
xend = wid-wrem, yend = hgt-hrem;
|
||||
|
||||
var bxs = [];
|
||||
for (var y = 0; y < hgt; y += h0)
|
||||
for (var x = 0; x < wid; x += w0)
|
||||
bxs.push({x:x, y:y, w:(x==xend?wrem:w0), h:(y==yend?hrem:h0)});
|
||||
|
||||
return bxs;
|
||||
}
|
||||
|
||||
// iterates @bbox within a parent rect of width @wid; calls @fn, passing index within parent
|
||||
function iterBox(bbox, wid, fn) {
|
||||
var b = bbox,
|
||||
i0 = b.y * wid + b.x,
|
||||
i1 = (b.y + b.h - 1) * wid + (b.x + b.w - 1),
|
||||
cnt = 0, incr = wid - b.w + 1, i = i0;
|
||||
|
||||
do {
|
||||
fn.call(this, i);
|
||||
i += (++cnt % b.w == 0) ? incr : 1;
|
||||
} while (i <= i1);
|
||||
}
|
||||
|
||||
// returns array of hash keys sorted by their values
|
||||
function sortedHashKeys(obj, desc) {
|
||||
var keys = [];
|
||||
|
||||
for (var key in obj)
|
||||
keys.push(key);
|
||||
|
||||
return sort.call(keys, function(a,b) {
|
||||
return desc ? obj[b] - obj[a] : obj[a] - obj[b];
|
||||
});
|
||||
}
|
||||
|
||||
// expose
|
||||
this.RgbQuant = RgbQuant;
|
||||
|
||||
// expose to commonJS
|
||||
if (typeof module !== 'undefined' && module.exports) {
|
||||
module.exports = RgbQuant;
|
||||
}
|
||||
|
||||
}).call(this);
|
||||
Loading…
Add table
Add a link
Reference in a new issue