Step-down downsample + sharpen convolution
HTML
<input type="file" id="inputFile">
<br><br>
<div style="float:left;">
<canvas id="canvas" width=200 height=100></canvas>
<img width=200px src="http://i.imgur.com/DR94LKg.jpg">
<img id='testImageX' width=6000px src="http://i.imgur.com/DR94LKg.jpg">
<img id='testImage' width=200px src="https://i.stack.imgur.com/5x1UP.jpg">
<canvas id='cv' width=1060 height=3020></canvas>
</div>
<br>
Sharpen: <input type=range id=mix min=0 max=100 value=0 onchange="update()">
JavaScript
function p1() {
var canvas = document.getElementById("canvas"),
ctx = canvas.getContext("2d"),
offScreen = document.createElement('canvas'),
offctx = offScreen.getContext('2d'),
img = new Image();
/// as we need pixel access to apply convolution we
/// need to get around CORS:
img.crossOrigin = 'anonymous';
/// when image is loaded step-down the downscaling
img.onload = resize;
img.src =// "http://i.imgur.com/JuJMPxs.png";
"http://i.imgur.com/DR94LKg.jpg";
$("#inputFile").on("change", function() {
var inputFile = $("#inputFile")[0];
var myFile = inputFile.files[0];
var _URL = window.URL || window.webkitURL;
img.src = _URL.createObjectURL(myFile);
});
/// sharpen image:
/// USAGE:
/// sharpen(context, width, height, mixFactor)
/// mixFactor: [0.0, 1.0]
function sharpen(ctx, w, h, mix) {
var weights = [0, -1, 0, -1, 5, -1, 0, -1, 0],
katet = Math.round(Math.sqrt(weights.length)),
half = (katet * 0.5) | 0,
dstData = ctx.createImageData(w, h),
dstBuff = dstData.data,
srcBuff = ctx.getImageData(0, 0, w, h).data,
y = h;
while (y--) {
x = w;
while (x--) {
var sy = y,
sx = x,
dstOff = (y * w + x) * 4,
r = 0,
g = 0,
b = 0,
a = 0;
for (var cy = 0; cy < katet; cy++) {
for (var cx = 0; cx < katet; cx++) {
var scy = sy + cy - half;
var scx = sx + cx - half;
if (scy >= 0 && scy < h && scx >= 0 && scx < w) {
var srcOff = (scy * w + scx) * 4;
var wt = weights[cy * katet + cx];
r += srcBuff[srcOff] * wt;
g += srcBuff[srcOff + 1] * wt;
b += srcBuff[srcOff + 2] * wt;
a += srcBuff[srcOff + 3] * wt;
...