HTML5实现一个图片滤镜效果的示例代码分享
html页面：
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
<meta name="viewport" content="width = device-width,initial-scale=1.0">
</head>
<body>
<img src="img/5.jpg" class="photo">
</br>
</br>
<button class="reset">复位</button>
</br>
</br>
<button class="grayscale">灰度效果</button>
<button class="sepia">复古效果</button>
<button class="redmask">红色蒙版效果</button>
<button class="brightness">亮度效果</button>
<button class="invert">反转效果</button>
<button class="blackWhite">黑白效果</button>
<button class="emboss">浮雕效果</button>
</br>
</br>
<button class="redFilter">红色滤镜</button>
<button class="greenFilter">绿色滤镜</button>
<button class="blueFilter">蓝色滤镜</button>
<button class="yellowFilter">黄色滤镜</button>
<button class="perpleFilter">紫色滤镜</button>
<button class="cyanFilter">青色滤镜</button>
<script src="js/photoFilter.js"></script>
<script src="js/app.js"></script>
</body>
</html>Salin selepas log masuk
app.js代码：
/**
* Created by syo on 2017/3/14.
* @author syo QQ:23371891
*/
let photoData = new PhotoFilter(document.querySelector('.photo'));
Array.prototype.slice.call(document.querySelectorAll('button')).map(function (dom, index) {
dom.onclick = function (evt) {
switch (evt.target.className) {
case 'grayscale':
photoData.grayscale();
break;
case 'sepia':
photoData.sepia();
break;
case 'redmask':
photoData.redmask();
break;
case 'brightness':
photoData.brightness(20);
break;
case 'invert':
photoData.invert();
break;
case 'blackWhite':
photoData.blackWhite(100);
break;
case 'emboss':
photoData.emboss();
break;
case 'redFilter':
photoData.redFilter();
break;
case 'greenFilter':
photoData.greenFilter();
break;
case 'blueFilter':
photoData.blueFilter();
break;
case 'yellowFilter':
photoData.yellowFilter();
break;
case 'perpleFilter':
photoData.perpleFilter();
break;
case 'cyanFilter':
photoData.cyanFilter();
break;
case 'reset':
photoData.reset();
break;
}
}
})Salin selepas log masuk
photoFilter.js 类：
/**
* Created by syo on 2017/3/14.
* @author syo QQ:23371891
* 图片滤镜效果
* class PhotoFilter
* @param img 传入img元素
*/
class PhotoFilter {
constructor(img) {
"http://blog.51cto.com/viewpic.php?refimg=" + this.src = img.src;
this.img = img;
this.canvas = document.createElement('canvas');
this.ctx = this.canvas.getContext('2d');
this.canvas.width = this.img.width;
this.canvas.height = this.img.height;
this.drawImage();
}
/**
* 初始化
* 图片转canvas
*/
drawImage() {
this.ctx.drawImage(this.img, 0, 0);
this.imgData = this.ctx.getImageData(0, 0, this.canvas.width, this.canvas.height);
}
/**
* 灰度
* 红、绿、蓝三个像素值的算术平均值
*/
grayscale() {
let d = this.imgData.data;
for (let i = 0; i < d.length; i += 4) {
let r = d[i];
let g = d[i + 1];
let b = d[i + 2];
d[i] = d[i + 1] = d[i + 2] = (r + g + b) / 3;
}
this.canvasToImage();
}
/**
* 复古
* 将红、绿、蓝三个像素，分别取这三个值的某种加权平均值，使得图像有一种古旧的效果。
*/
sepia() {
let d = this.imgData.data;
//假定d[i]是像素数组中一个象素的红色值，则d[i+1]为绿色值，d[i+2]为蓝色值，d[i+3]就是alpha通道值
for (let i = 0; i < d.length; i += 4) {
let r = d[i];
let g = d[i + 1];
let b = d[i + 2];
d[i] = (r * 0.393) + (g * 0.769) + (b * 0.189); //red
d[i + 1] = (r * 0.349) + (g * 0.686) + (b * 0.168); //green
d[i + 2] = (r * 0.272) + (g * 0.534) + (b * 0.131); //blue
}
this.canvasToImage();
}
/**
* 红色蒙版
* 图像呈现一种偏红的效果
* 算法是将红色通道设为红、绿、蓝三个值的平均值，而将绿色通道和蓝色通道都设为0
*/
redmask() {
let d = this.imgData.data;
for (let i = 0; i < d.length; i += 4) {
let r = d[i];
let g = d[i + 1];
let b = d[i + 2];
d[i] = (r + g + b) / 3;
d[i + 1] = d[i + 2] = 0;
}
this.canvasToImage();
}
/**
* 亮度
* 图像变得更亮或更暗
* 算法将红色通道、绿色通道、蓝色通道，同时加上一个正值或负值
* @param val 亮度值
*/
brightness(val) {
let d = this.imgData.data;
for (let i = 0; i < d.length; i += 4) {
d[i] += val;
d[i + 1] += val;
d[i + 2] += val;
}
this.canvasToImage();
}
/**
* 反相
* 图片呈现一种色彩颠倒的效果
* 算法为红、绿、蓝通道都取各自的相反值（255-原值）
*/
invert() {
let d = this.imgData.data;
for (let i = 0; i < d.length; i += 4) {
d[i] = 255 - d[i];
d[i + 1] = 255 - d[i + 1];
d[i + 2] = 255 - d[i + 2];
}
this.canvasToImage();
}
/**
* 黑白图片
* 求RGB平均值Avg ＝ (R + G + B) / 3，如果Avg >= 100，则新的颜色值为R＝G＝B＝255；
* @param Threshold 阈值
*/
blackWhite(threshold) {
let d = this.imgData.data;
for (let i = 0; i < d.length; i += 4) {
let avg = (d[i] + d[i + 1] + d[i + 2]) / 3;
d[i] = d[i + 1] = d[i + 2] = avg > threshold ? 255 : 0;
}
this.canvasToImage();
}
/**
* 浮雕效果
* 当前RGB减去相邻的GRB得到的值再加上128
* 取平均值 再次灰度，优化浮雕的效果
*/
emboss() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
d[i] = d[i] - d[i + 4] + 128;
d[i + 1] = d[i + 1] - d[i + 5] + 128;
d[i + 2] = d[i + 2] - d[i + 6] + 128;
let avg = (d[i] + d[i + 1] + d[i + 2]) / 3;
d[i] = avg;
d[i + 1] = avg;
d[i + 2] = avg;
}
this.canvasToImage();
}
/**
* 红色滤镜
* 当前红色通道值变为原来的2倍
*/
redFilter() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
let r = d[i] * 2;
d[i] = r > 255 ? 255 : r;
}
this.canvasToImage();
}
/**
* 绿色滤镜
* 当前绿色通道值变为原来的2倍
*/
greenFilter() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
let g = d[i + 1] * 2;
d[i + 1] = g > 255 ? 255 : g;
}
this.canvasToImage();
}
/**
* 蓝色滤镜
* 当前蓝色通道值变为原来的2倍
*/
blueFilter() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
let b = d[i + 2] * 2;
d[i + 2] = b > 255 ? 255 : b;
}
this.canvasToImage();
}
/**
* 黄色滤镜
* 当前红色通道和绿色通道值+50
*/
yellowFilter() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
let r = d[i] + 50;
let g = d[i + 1] + 50;
d[i] = r > 255 ? 255 : r;
d[i + 1] = g > 255 ? 255 : g;
}
this.canvasToImage();
}
/**
* 紫色滤镜
* 当前红色通道和蓝色通道值+50
*/
perpleFilter() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
let r = d[i] + 50;
let b = d[i + 2] + 50;
d[i] = r > 255 ? 255 : r;
d[i + 2] = b > 255 ? 255 : b;
}
this.canvasToImage();
}
/**
* 青色滤镜
* 当前蓝色通道和绿色通道值+50
*/
cyanFilter() {
let d = this.imgData.data;
for (let i = 4; i < d.length; i += 4) {
let g = d[i + 1] + 50;
let b = d[i + 2] + 50;
d[i + 1] = g > 255 ? 255 : g;
d[i + 2] = b > 255 ? 255 : b;
}
this.canvasToImage();
}
/**
* canvas转换成图片元素
*/
canvasToImage() {
this.ctx.putImageData(this.imgData, 0, 0);
this.img.src = this.canvas.toDataURL();
}
/**
* 复原
*/
reset() {
this.img.src = "http://blog.51cto.com/viewpic.php?refimg=" + this.src;
this.drawImage();
}
}Salin selepas log masuk
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