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resample.js
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"use strict";
function assert(condition, message) {
if (!condition) {
message = message || "Assertion failed";
if (typeof Error !== "undefined") {
throw new Error(message);
}
throw message; // Fallback
}
}
var Resample = {};
Resample.getSrcPosition = function (dstpos, factor) {
// Offset is the center of the very first interpolation
var offset = (1 / factor - 1) / 2;
var position = dstpos / factor + offset;
return position + offset;
}
Resample.getPixels = function (img) {
var c, ctx;
if (img.getContext) {
c = img;
try { ctx = c.getContext('2d'); } catch(e) {}
}
if (!ctx) {
c = this.createCanvas(img.width, img.height);
ctx = c.getContext('2d');
ctx.drawImage(img, 0, 0);
}
return ctx.getImageData(0,0,c.width,c.height);
};
Resample.createPixels = function (width, height) {
var c = this.createCanvas(width, height);
var ctx = c.getContext('2d');
return ctx.getImageData(0,0,width, height);
}
Resample.createCanvas = function (width, height) {
var c = document.createElement('canvas');
c.width = width;
c.height = height;
return c;
};
Resample.nearestNeighbor = function (src, dst) {
var sd = src.data;
var dd = dst.data;
assert(sd.length === src.width * src.height * 4);
assert(dd.length === dst.width * dst.height * 4);
var factorX = dst.width / src.width;
var factorY = dst.height / src.height;
assert (Math.abs(factorX - factorY) < Number.MIN_VALUE);
var k = 0;
for (var i = 0; i < dst.height; i++) {
for (var j = 0; j < dst.width; j++) {
var iSrc = Math.round(this.getSrcPosition (i, factorY));
var jSrc = Math.round(this.getSrcPosition (j, factorX));
var kSrc = (iSrc * src.width + jSrc) * 4;
dd[k + 0] = sd[kSrc + 0];
dd[k + 1] = sd[kSrc + 1];
dd[k + 2] = sd[kSrc + 2];
dd[k + 3] = sd[kSrc + 3];
k += 4;
}
}
return dst;
}
function clamp (x, min, max) {
return Math.max(Math.min (x, max), min);
}
function sinc (x) {
x *= Math.PI;
var result = Math.sin(x) / x;
return isFinite(result) ? result : 1;
}
Resample.separableFilter = function (src, dst, filter) {
var i, j, k, l, m;
var dstval;
var tmp = new Array (src.height * dst.width * 4);
var factorX = dst.width / src.width;
var factorY = dst.height / src.height;
var sd = src.data;
var dd = dst.data;
// Execute horizontal resampling
m = 0;
for (i = 0; i < src.height; i++) {
for (j = 0; j < dst.width; j++) {
dstval = [0, 0, 0, 0];
for (k = 0; k < filter.tapsX[j].n; k++) {
for (l = 0; l < 4; l++)
dstval[l] += filter.tapsX[j].coeff[k] * sd[(i * src.width + filter.tapsX[j].pos[k]) * 4 + l];
}
for (l = 0; l < 4; l++)
tmp[m + l] = dstval[l];
m += 4;
}
}
// Execute vertical resampling
m = 0;
for (i = 0; i < dst.height; i++) {
for (j = 0; j < dst.width; j++) {
dstval = [0, 0, 0, 0];
for (k = 0; k < filter.tapsY[i].n; k++) {
for (l = 0; l < 4; l++)
dstval[l] += filter.tapsY[i].coeff[k] * tmp[(filter.tapsY[i].pos[k] * dst.width + j) * 4 + l];
}
for (l = 0; l < 4; l++)
dd[m + l] = dstval[l];
m += 4;
}
}
return dst;
}
// Resample.bilinear = function (src, dst, args) {
// var filter = new Filter(FilterFunc.triangle, 1);
// filter.initialize(src.width, src.height, dst.width, dst.height);
// return this.separableFilter(src, dst, filter);
// }
Resample.resampleImage = function (filter, image, factor) {
var wDst = Math.round(image.width * factor);
var hDst = Math.round(image.height * factor);
var pixelsSrc = this.getPixels(image);
var pixelsDst = this.createPixels(wDst, hDst);
var args = [pixelsSrc, pixelsDst, filter];
for (var i=2; i<arguments.length; i++) {
args.push(arguments[i]);
}
filter.initialize(pixelsSrc.width, pixelsSrc.height, pixelsDst.width, pixelsDst.height);
return filter.process.apply(this, args);
};
function FilterDef (support, processFunc, generateFunc) {
this.support = support;
this.process = processFunc;
this.generate = generateFunc;
this.tapsX = null;
this.tapsY = null;
}
var Filter = {}
Filter.filters = {};
// aka nearest neighbor
Filter.filters.point = new FilterDef(null, Resample.nearestNeighbor, null);
// aka averaging
Filter.filters.box = new FilterDef(0.5, Resample.separableFilter,
function (x) {
return (x >= -0.5 && x < 0.5) ? 1 : 0;
});
// aka bilinear
Filter.filters.triangle = new FilterDef(1, Resample.separableFilter,
function (x) {
if (x < 0)
x = -x;
return (x < 1) ? (1 - x) : 0;
});
Filter.filters.lanczos2 = new FilterDef(2, Resample.separableFilter,
function (x) {
if (x < 0)
x = -x;
if (x < 2)
return sinc(x) * sinc(x / 2);
else
return 0;
});
Filter.filters.lanczos3 = new FilterDef(3, Resample.separableFilter,
function (x) {
if (x < 0)
x = -x;
if (x < 3)
return sinc(x) * sinc(x / 3);
else
return 0;
});
Filter.filters.lanczos6 = new FilterDef(6, Resample.separableFilter,
function (x) {
if (x < 0)
x = -x;
if (x < 6)
return sinc(x) * sinc(x / 6);
else
return 0;
});
FilterDef.prototype.initialize = function (srcWidth, srcHeight, dstWidth, dstHeight) {
function calcualteFilterTaps(srcX, dstX, support, generate) {
var scale = dstX / srcX;
var filterWidth = 2 * support / scale;
var filterTaps = [];
for (var i = 0; i < dstX; i++) {
var taps = [];
var srcPos = [];
var center = (i + 0.5) / scale - 0.5;
var left = Math.floor(center - filterWidth/2);
var right = Math.ceil(center + filterWidth/2);
var filterLength = right - left + 1;
var phase = center - Math.floor(center) - filterLength/2;
var sum = 0;
for (var j = 0; j < filterLength; j++, phase++) {
taps[j] = generate(phase * scale);
srcPos[j] = clamp(Math.floor(center - filterLength/2 + j), 0, srcWidth);
sum += taps[j];
}
// Normalize
for (var j = 0; j < filterLength; j++)
taps[j] /= sum;
filterTaps[i] = {coeff: taps, pos: srcPos, n : filterLength};
}
return filterTaps;
}
if (this.generate) {
this.tapsX = calcualteFilterTaps(srcWidth, dstWidth, this.support, this.generate);
this.tapsY = calcualteFilterTaps(srcHeight, dstHeight, this.support, this.generate);
}
}
function runResample(canvasid, imgid, factor, filtername) {
var timeStart = performance.now();
assert(canvasid);
assert(imgid);
assert(factor);
var canvas = document.getElementById(canvasid);
var srcimg = document.getElementById(imgid);
var filtername = document.getElementById("method").value;
var filter = Filter.filters[filtername]
assert (filter, "Invalid filter name '" + filtername + "'");
var imgdata = Resample.resampleImage(filter, srcimg, factor);
canvas.width = imgdata.width;
canvas.height = imgdata.height;
var ctx = canvas.getContext('2d');
ctx.putImageData(imgdata, 0, 0);
canvas.style.display = 'inline';
var timeEnd = performance.now();
console.log("Resampling with " + filtername + " took " + (timeEnd - timeStart) + " ms.");
}
function drawFilterFunction(drawid) {
var filtername = document.getElementById("method").value;
var filter = Filter.filters[filtername]
assert (filter, "Invalid filter name '" + filtername + "'");
var filterPlot = []
var xmax = Math.max(4, filter.support);
var xmin = Math.min(-4, -filter.support);
if (filter.generate) {
var tick = 0.01;
for (var x = xmin; x <= xmax; x += tick)
filterPlot.push([x, filter.generate(x)]);
}
Flotr.draw($(drawid), [filterPlot], { yaxis: { min: -0.25, max: 1.25 } });
}