From add6508961c4fe3a6348e96654c905a73774d390 Mon Sep 17 00:00:00 2001 From: Yuval Adam Date: Wed, 10 Jun 2015 17:49:23 +0300 Subject: Add pixelation --- client/quantize.js | 471 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 471 insertions(+) create mode 100644 client/quantize.js (limited to 'client/quantize.js') diff --git a/client/quantize.js b/client/quantize.js new file mode 100644 index 0000000..5a99945 --- /dev/null +++ b/client/quantize.js @@ -0,0 +1,471 @@ +/*! + * quantize.js Copyright 2008 Nick Rabinowitz. + * Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php + */ + +// fill out a couple protovis dependencies +/*! + * Block below copied from Protovis: http://mbostock.github.com/protovis/ + * Copyright 2010 Stanford Visualization Group + * Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php + */ +if (!pv) { + var pv = { + map: function(array, f) { + var o = {}; + return f + ? array.map(function(d, i) { o.index = i; return f.call(o, d); }) + : array.slice(); + }, + naturalOrder: function(a, b) { + return (a < b) ? -1 : ((a > b) ? 1 : 0); + }, + sum: function(array, f) { + var o = {}; + return array.reduce(f + ? function(p, d, i) { o.index = i; return p + f.call(o, d); } + : function(p, d) { return p + d; }, 0); + }, + max: function(array, f) { + return Math.max.apply(null, f ? pv.map(array, f) : array); + } + } +} + +/** + * Basic Javascript port of the MMCQ (modified median cut quantization) + * algorithm from the Leptonica library (http://www.leptonica.com/). + * Returns a color map you can use to map original pixels to the reduced + * palette. Still a work in progress. + * + * @author Nick Rabinowitz + * @example + +// array of pixels as [R,G,B] arrays +var myPixels = [[190,197,190], [202,204,200], [207,214,210], [211,214,211], [205,207,207] + // etc + ]; +var maxColors = 4; + +var cmap = MMCQ.quantize(myPixels, maxColors); +var newPalette = cmap.palette(); +var newPixels = myPixels.map(function(p) { + return cmap.map(p); +}); + + */ +MMCQ = (function() { + // private constants + var sigbits = 5, + rshift = 8 - sigbits, + maxIterations = 1000, + fractByPopulations = 0.75; + + // get reduced-space color index for a pixel + function getColorIndex(r, g, b) { + return (r << (2 * sigbits)) + (g << sigbits) + b; + } + + // Simple priority queue + function PQueue(comparator) { + var contents = [], + sorted = false; + + function sort() { + contents.sort(comparator); + sorted = true; + } + + return { + push: function(o) { + contents.push(o); + sorted = false; + }, + peek: function(index) { + if (!sorted) sort(); + if (index===undefined) index = contents.length - 1; + return contents[index]; + }, + pop: function() { + if (!sorted) sort(); + return contents.pop(); + }, + size: function() { + return contents.length; + }, + map: function(f) { + return contents.map(f); + }, + debug: function() { + if (!sorted) sort(); + return contents; + } + }; + } + + // 3d color space box + function VBox(r1, r2, g1, g2, b1, b2, histo) { + var vbox = this; + vbox.r1 = r1; + vbox.r2 = r2; + vbox.g1 = g1; + vbox.g2 = g2; + vbox.b1 = b1; + vbox.b2 = b2; + vbox.histo = histo; + } + VBox.prototype = { + volume: function(force) { + var vbox = this; + if (!vbox._volume || force) { + vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1)); + } + return vbox._volume; + }, + count: function(force) { + var vbox = this, + histo = vbox.histo; + if (!vbox._count_set || force) { + var npix = 0, + i, j, k; + for (i = vbox.r1; i <= vbox.r2; i++) { + for (j = vbox.g1; j <= vbox.g2; j++) { + for (k = vbox.b1; k <= vbox.b2; k++) { + index = getColorIndex(i,j,k); + npix += (histo[index] || 0); + } + } + } + vbox._count = npix; + vbox._count_set = true; + } + return vbox._count; + }, + copy: function() { + var vbox = this; + return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo); + }, + avg: function(force) { + var vbox = this, + histo = vbox.histo; + if (!vbox._avg || force) { + var ntot = 0, + mult = 1 << (8 - sigbits), + rsum = 0, + gsum = 0, + bsum = 0, + hval, + i, j, k, histoindex; + for (i = vbox.r1; i <= vbox.r2; i++) { + for (j = vbox.g1; j <= vbox.g2; j++) { + for (k = vbox.b1; k <= vbox.b2; k++) { + histoindex = getColorIndex(i,j,k); + hval = histo[histoindex] || 0; + ntot += hval; + rsum += (hval * (i + 0.5) * mult); + gsum += (hval * (j + 0.5) * mult); + bsum += (hval * (k + 0.5) * mult); + } + } + } + if (ntot) { + vbox._avg = [~~(rsum/ntot), ~~(gsum/ntot), ~~(bsum/ntot)]; + } else { + console.log('empty box'); + vbox._avg = [ + ~~(mult * (vbox.r1 + vbox.r2 + 1) / 2), + ~~(mult * (vbox.g1 + vbox.g2 + 1) / 2), + ~~(mult * (vbox.b1 + vbox.b2 + 1) / 2) + ]; + } + } + return vbox._avg; + }, + contains: function(pixel) { + var vbox = this, + rval = pixel[0] >> rshift; + gval = pixel[1] >> rshift; + bval = pixel[2] >> rshift; + return (rval >= vbox.r1 && rval <= vbox.r2 && + gval >= vbox.g1 && rval <= vbox.g2 && + bval >= vbox.b1 && rval <= vbox.b2); + } + }; + + // Color map + function CMap() { + this.vboxes = new PQueue(function(a,b) { + return pv.naturalOrder( + a.vbox.count()*a.vbox.volume(), + b.vbox.count()*b.vbox.volume() + ) + });; + } + CMap.prototype = { + push: function(vbox) { + this.vboxes.push({ + vbox: vbox, + color: vbox.avg() + }); + }, + palette: function() { + return this.vboxes.map(function(vb) { return vb.color }); + }, + size: function() { + return this.vboxes.size(); + }, + map: function(color) { + var vboxes = this.vboxes; + for (var i=0; i 251 + var idx = vboxes.length-1, + highest = vboxes[idx].color; + if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251) + vboxes[idx].color = [255,255,255]; + } + }; + + // histo (1-d array, giving the number of pixels in + // each quantized region of color space), or null on error + function getHisto(pixels) { + var histosize = 1 << (3 * sigbits), + histo = new Array(histosize), + index, rval, gval, bval; + pixels.forEach(function(pixel) { + rval = pixel[0] >> rshift; + gval = pixel[1] >> rshift; + bval = pixel[2] >> rshift; + index = getColorIndex(rval, gval, bval); + histo[index] = (histo[index] || 0) + 1; + }); + return histo; + } + + function vboxFromPixels(pixels, histo) { + var rmin=1000000, rmax=0, + gmin=1000000, gmax=0, + bmin=1000000, bmax=0, + rval, gval, bval; + // find min/max + pixels.forEach(function(pixel) { + rval = pixel[0] >> rshift; + gval = pixel[1] >> rshift; + bval = pixel[2] >> rshift; + if (rval < rmin) rmin = rval; + else if (rval > rmax) rmax = rval; + if (gval < gmin) gmin = gval; + else if (gval > gmax) gmax = gval; + if (bval < bmin) bmin = bval; + else if (bval > bmax) bmax = bval; + }); + return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo); + } + + function medianCutApply(histo, vbox) { + if (!vbox.count()) return; + + var rw = vbox.r2 - vbox.r1 + 1, + gw = vbox.g2 - vbox.g1 + 1, + bw = vbox.b2 - vbox.b1 + 1, + maxw = pv.max([rw, gw, bw]); + // only one pixel, no split + if (vbox.count() == 1) { + return [vbox.copy()] + } + /* Find the partial sum arrays along the selected axis. */ + var total = 0, + partialsum = [], + lookaheadsum = [], + i, j, k, sum, index; + if (maxw == rw) { + for (i = vbox.r1; i <= vbox.r2; i++) { + sum = 0; + for (j = vbox.g1; j <= vbox.g2; j++) { + for (k = vbox.b1; k <= vbox.b2; k++) { + index = getColorIndex(i,j,k); + sum += (histo[index] || 0); + } + } + total += sum; + partialsum[i] = total; + } + } + else if (maxw == gw) { + for (i = vbox.g1; i <= vbox.g2; i++) { + sum = 0; + for (j = vbox.r1; j <= vbox.r2; j++) { + for (k = vbox.b1; k <= vbox.b2; k++) { + index = getColorIndex(j,i,k); + sum += (histo[index] || 0); + } + } + total += sum; + partialsum[i] = total; + } + } + else { /* maxw == bw */ + for (i = vbox.b1; i <= vbox.b2; i++) { + sum = 0; + for (j = vbox.r1; j <= vbox.r2; j++) { + for (k = vbox.g1; k <= vbox.g2; k++) { + index = getColorIndex(j,k,i); + sum += (histo[index] || 0); + } + } + total += sum; + partialsum[i] = total; + } + } + partialsum.forEach(function(d,i) { + lookaheadsum[i] = total-d + }); + function doCut(color) { + var dim1 = color + '1', + dim2 = color + '2', + left, right, vbox1, vbox2, d2, count2=0; + for (i = vbox[dim1]; i <= vbox[dim2]; i++) { + if (partialsum[i] > total / 2) { + vbox1 = vbox.copy(); + vbox2 = vbox.copy(); + left = i - vbox[dim1]; + right = vbox[dim2] - i; + if (left <= right) + d2 = Math.min(vbox[dim2] - 1, ~~(i + right / 2)); + else d2 = Math.max(vbox[dim1], ~~(i - 1 - left / 2)); + // avoid 0-count boxes + while (!partialsum[d2]) d2++; + count2 = lookaheadsum[d2]; + while (!count2 && partialsum[d2-1]) count2 = lookaheadsum[--d2]; + // set dimensions + vbox1[dim2] = d2; + vbox2[dim1] = vbox1[dim2] + 1; + console.log('vbox counts:', vbox.count(), vbox1.count(), vbox2.count()); + return [vbox1, vbox2]; + } + } + + } + // determine the cut planes + return maxw == rw ? doCut('r') : + maxw == gw ? doCut('g') : + doCut('b'); + } + + function quantize(pixels, maxcolors) { + // short-circuit + if (!pixels.length || maxcolors < 2 || maxcolors > 256) { + console.log('wrong number of maxcolors'); + return false; + } + + // XXX: check color content and convert to grayscale if insufficient + + var histo = getHisto(pixels), + histosize = 1 << (3 * sigbits); + + // check that we aren't below maxcolors already + var nColors = 0; + histo.forEach(function() { nColors++ }); + if (nColors <= maxcolors) { + // XXX: generate the new colors from the histo and return + } + + // get the beginning vbox from the colors + var vbox = vboxFromPixels(pixels, histo), + pq = new PQueue(function(a,b) { return pv.naturalOrder(a.count(), b.count()) }); + pq.push(vbox); + + // inner function to do the iteration + function iter(lh, target) { + var ncolors = 1, + niters = 0, + vbox; + while (niters < maxIterations) { + vbox = lh.pop(); + if (!vbox.count()) { /* just put it back */ + lh.push(vbox); + niters++; + continue; + } + // do the cut + var vboxes = medianCutApply(histo, vbox), + vbox1 = vboxes[0], + vbox2 = vboxes[1]; + + if (!vbox1) { + console.log("vbox1 not defined; shouldn't happen!"); + return; + } + lh.push(vbox1); + if (vbox2) { /* vbox2 can be null */ + lh.push(vbox2); + ncolors++; + } + if (ncolors >= target) return; + if (niters++ > maxIterations) { + console.log("infinite loop; perhaps too few pixels!"); + return; + } + } + } + + // first set of colors, sorted by population + iter(pq, fractByPopulations * maxcolors); + // console.log(pq.size(), pq.debug().length, pq.debug().slice()); + + // Re-sort by the product of pixel occupancy times the size in color space. + var pq2 = new PQueue(function(a,b) { + return pv.naturalOrder(a.count()*a.volume(), b.count()*b.volume()) + }); + while (pq.size()) { + pq2.push(pq.pop()); + } + + // next set - generate the median cuts using the (npix * vol) sorting. + iter(pq2, maxcolors - pq2.size()); + + // calculate the actual colors + var cmap = new CMap(); + while (pq2.size()) { + cmap.push(pq2.pop()); + } + + return cmap; + } + + return { + quantize: quantize + } +})(); -- cgit v1.3.1