HTML5 sample code sharing to implement an image filter effect-H5 Tutorial-php.cn

HTML5Achieve a picture filter effect Sample code sharing
html page:

<!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>

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app.js code:

/**
 * Created by syo on 2017/3/14.
 * @author syo QQ:23371891
 */
 
let photoData = new PhotoFilter(document.querySelector(&#39;.photo&#39;));
 
Array.prototype.slice.call(document.querySelectorAll(&#39;button&#39;)).map(function (dom, index) {
    dom.onclick = function (evt) {
        switch (evt.target.className) {
            case &#39;grayscale&#39;:
                photoData.grayscale();
                break;
            case &#39;sepia&#39;:
                photoData.sepia();
                break;
            case &#39;redmask&#39;:
                photoData.redmask();
                break;
            case &#39;brightness&#39;:
                photoData.brightness(20);
                break;
            case &#39;invert&#39;:
                photoData.invert();
                break;
            case &#39;blackWhite&#39;:
                photoData.blackWhite(100);
                break;
            case &#39;emboss&#39;:
                photoData.emboss();
                break;
            case &#39;redFilter&#39;:
                photoData.redFilter();
                break;
            case &#39;greenFilter&#39;:
                photoData.greenFilter();
                break;
            case &#39;blueFilter&#39;:
                photoData.blueFilter();
                break;
            case &#39;yellowFilter&#39;:
                photoData.yellowFilter();
                break;
            case &#39;perpleFilter&#39;:
                photoData.perpleFilter();
                break;
            case &#39;cyanFilter&#39;:
                photoData.cyanFilter();
                break;
            case &#39;reset&#39;:
                photoData.reset();
                break;
        }
    }
})

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photoFilter.js class:

/**
 * 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(&#39;canvas&#39;);
        this.ctx = this.canvas.getContext(&#39;2d&#39;);
        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();
    }
}

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