我使用HTML5和JavaScript制作了一个简单的图像处理/滤镜Web应用程序。每个滤镜都可以正常工作，例如“亮度”，“灰度”，“负片”等。除了“锐化图像”，“边缘检测”以外，各种“邻域”操作均不起作用。
我已经尝试了所有可能的方法，尝试使用google，查找了引用但失败了。我找到的参考资料显示了Matrix系统，我知道Matrix系统的概念，但不知道如何应用。如果我能解决我的问题，那将是一种帮助。请暂时在下面查看我的代码，我正在向Sharp发布图像代码。
我发现这样的东西可以使图像清晰（[0，-1，0，-1、5，-1，0，-1，0]），但如何应用我不知道。所以我尝试像下面的代码一样应用它
<script>
function pic() {
var c = document.getElementById('myCanvas');
var ctx = c.getContext('2d');
var btnsharpen = document.getElementById('btnsharpen');
var img = new Image();
img.onload = function () {
ctx.drawImage(img, 0, 0);
}
//sharp the image
btnsharpen.onclick = function(){
ctx.drawImage(img, 0, 0);
var imgData = ctx.getImageData(0,0, c.width, c.height);
var pixels = imgData.data;
var numPixels = ((imgData.width-1) *(imgData*4)+ ((imgData.height)*4));
for (var i = 0, n = numPixels; i < n; i +=4) {
var sharpen = (pixels[i] * 0 + pixels[i + 1] * 0 + pixels[i + 2] * 0) +
(pixels[i] * -1 + pixels[i + 1] * -1 + pixels[i + 2] * -1) +
(pixels[i] * 0 + pixels[i + 1] * 0 + pixels[i + 2] * 0) +
(pixels[i] * -1 + pixels[i + 1] * -1 + pixels[i + 2] * -1) +
(pixels[i] * 5 + pixels[i + 1] * 5 + pixels[i + 2] * 5) +
(pixels[i] * -1 + pixels[i + 1] * -1 + pixels[i + 2] * -1) +
(pixels[i] * 0 + pixels[i + 1] * 0 + pixels[i + 2] * 0) +
(pixels[i] * -1 + pixels[i + 1] * -1 + pixels[i + 2] * -1) +
(pixels[i] * 0 + pixels[i + 1] * 0 + pixels[i + 2] * 0);
pixels[i] = sharpen; // red
pixels[i + 1] = sharpen; // green
pixels[i + 2] = sharpen; // blue
}
ctx.putImageData(imgData, 0, 0);
img.src = "image/Angelina_Jolie.jpg";
}
</script>
<body onLoad="pic()">
<canvas id='myCanvas' width='500' height='375' style='border:solid 1px #000000'></canvas>
<input type="button" value="Sharpen" class="buttons" id="btnsharpen" /><br />
</body>
[旧问题（希望您找到了答案，@ bleach64），但是对于任何有兴趣的人，这是我发现的图像锐化的小提琴：
Step-down downsample + sharpen convolution
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/DR94LKg.jpg";
/// 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;
}
}
}
dstBuff[dstOff] = r * mix + srcBuff[dstOff] * (1 - mix);
dstBuff[dstOff + 1] = g * mix + srcBuff[dstOff + 1] * (1 - mix);
dstBuff[dstOff + 2] = b * mix + srcBuff[dstOff + 2] * (1 - mix)
dstBuff[dstOff + 3] = srcBuff[dstOff + 3];
}
}
ctx.putImageData(dstData, 0, 0);
}
/// naive and non-efficient implementation of update, but
/// do illustrate the impact of sharpen after a downsample
function resize() {
/// set canvas size proportional to original image
canvas.height = canvas.width * (img.height / img.width);
/// set off-screen canvas/sharpening source to same size
offScreen.width = canvas.width;
offScreen.height = canvas.height;
/// step 1 in down-scaling
var oc = document.createElement('canvas'),
octx = oc.getContext('2d');
oc.width = img.width * 0.5;
oc.height = img.height * 0.5;
octx.drawImage(img, 0, 0, oc.width, oc.height);
/// step 2
octx.drawImage(oc, 0, 0, oc.width * 0.5, oc.height * 0.5);
/// draw final result to screen canvas
ctx.drawImage(oc, 0, 0, oc.width * 0.5, oc.height * 0.5,
0, 0, canvas.width, canvas.height);
/// copy to off-screen to use as source for shapening
offctx.drawImage(canvas, 0, 0);
/// apply sharpening convolution
update();
}
/// adjustable sharpening - update cached source
function update() {
ctx.drawImage(offScreen, 0, 0);
sharpen(ctx, canvas.width, canvas.height, parseInt(mix.value) * 0.01);
}
2019年12月...可悲的是，小提琴是奇闻趣事。