圖片模糊效果
一、css方案
實現最簡單,但是兼容性較差,性能一般
html
<img src="test.img"/>
css
img{ filter: blur(6px);}
二、svg方案
性能與css相似,但是兼容性較好
html
元素左上角對其,並等比例縮放至充滿短邊<svg viewBox="0 0 100 100" preserveAspectRatio="xMinYMin meet"> <defs> <filter id="blur"> <feGaussianBlur in="SourceGraphic" stdDeviation="3" result="blur"/> </filter> </defs> <image xlinkHref="test.img" height="100%"/> <rect height="100%"/></svg>
less
// 圖片白邊通常原因是,圖片模糊時邊緣半透明露出父元素背景色svg{ transform: translateZ(0);// 減弱安卓設備上的花屏現象 position: absolute; width: 140%; left: -20%;// 寬度放大後居中,隱藏左右的模糊白邊 height: 100%; top: -9%;// 上移隱藏頂部的模糊白邊 // 模糊的圖片 image{ display: block; filter: url(#blur); } // 黑色的半透明蒙版 rect{ opacity: 0.6; fill: #000; filter: url(#blur); }}
三、canvas方案
性能好,但是圖片需要配置支持跨域
html
<div> <canvas id="canvas"/> <img crossOrigin id="img" src="test.img" onLoad={blurImg}/></div>
less
.backdrop{ position: absolute; width: 200%; left: -50%; top: 0; bottom: 0%; canvas{ width: 100%; height: 100%; background-color: #444; } img{ display: none; } // 黑色半透明蒙板 &:after{ content: ; display: block; position: absolute; top: 0; left: 0; width: 100%; height: 100%; background: rgba(0,0,0,.6); }}
app.js
import blur from ./blur.js;function blurImg() { blur(document.getElementById(img), document.getElementById(canvas), 20);}
blur.js
// http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.htmlvar mul_table = [ 512, 512, 456, 512, 328, 456, 335, 512, 405, 328, 271, 456, 388, 335, 292, 512, 454, 405, 364, 328, 298, 271, 496, 456, 420, 388, 360, 335, 312, 292, 273, 512, 482, 454, 428, 405, 383, 364, 345, 328, 312, 298, 284, 271, 259, 496, 475, 456, 437, 420, 404, 388, 374, 360, 347, 335, 323, 312, 302, 292, 282, 273, 265, 512, 497, 482, 468, 454, 441, 428, 417, 405, 394, 383, 373, 364, 354, 345, 337, 328, 320, 312, 305, 298, 291, 284, 278, 271, 265, 259, 507, 496, 485, 475, 465, 456, 446, 437, 428, 420, 412, 404, 396, 388, 381, 374, 367, 360, 354, 347, 341, 335, 329, 323, 318, 312, 307, 302, 297, 292, 287, 282, 278, 273, 269, 265, 261, 512, 505, 497, 489, 482, 475, 468, 461, 454, 447, 441, 435, 428, 422, 417, 411, 405, 399, 394, 389, 383, 378, 373, 368, 364, 359, 354, 350, 345, 341, 337, 332, 328, 324, 320, 316, 312, 309, 305, 301, 298, 294, 291, 287, 284, 281, 278, 274, 271, 268, 265, 262, 259, 257, 507, 501, 496, 491, 485, 480, 475, 470, 465, 460, 456, 451, 446, 442, 437, 433, 428, 424, 420, 416, 412, 408, 404, 400, 396, 392, 388, 385, 381, 377, 374, 370, 367, 363, 360, 357, 354, 350, 347, 344, 341, 338, 335, 332, 329, 326, 323, 320, 318, 315, 312, 310, 307, 304, 302, 299, 297, 294, 292, 289, 287, 285, 282, 280, 278, 275, 273, 271, 269, 267, 265, 263, 261, 259];var shg_table = [ 9, 11, 12, 13, 13, 14, 14, 15, 15, 15, 15, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24];function BlurStack() { this.r = 0; this.g = 0; this.b = 0; this.a = 0; this.next = null;}function stackBlurCanvasRGB(canvas, top_x, top_y, width, height, radius) { if (isNaN(radius) || radius < 1) return; radius |= 0; var context = canvas.getContext("2d"); var imageData; imageData = context.getImageData(top_x, top_y, width, height); var pixels = imageData.data; var x, y, i, p, yp, yi, yw, r_sum, g_sum, b_sum, r_out_sum, g_out_sum, b_out_sum, r_in_sum, g_in_sum, b_in_sum, pr, pg, pb, rbs; var div = radius + radius + 1; var widthMinus1 = width - 1; var heightMinus1 = height - 1; var radiusPlus1 = radius + 1; var sumFactor = radiusPlus1 * (radiusPlus1 + 1) / 2; var stackStart = new BlurStack(); var stack = stackStart; for (i = 1; i < div; i++) { stack = stack.next = new BlurStack(); if (i == radiusPlus1) var stackEnd = stack; } stack.next = stackStart; var stackIn = null; var stackOut = null; yw = yi = 0; var mul_sum = mul_table[radius]; var shg_sum = shg_table[radius]; for (y = 0; y < height; y++) { r_in_sum = g_in_sum = b_in_sum = r_sum = g_sum = b_sum = 0; r_out_sum = radiusPlus1 * (pr = pixels[yi]); g_out_sum = radiusPlus1 * (pg = pixels[yi + 1]); b_out_sum = radiusPlus1 * (pb = pixels[yi + 2]); r_sum += sumFactor * pr; g_sum += sumFactor * pg; b_sum += sumFactor * pb; stack = stackStart; for (i = 0; i < radiusPlus1; i++) { stack.r = pr; stack.g = pg; stack.b = pb; stack = stack.next; } for (i = 1; i < radiusPlus1; i++) { p = yi + ((widthMinus1 < i ? widthMinus1 : i) << 2); r_sum += (stack.r = (pr = pixels[p])) * (rbs = radiusPlus1 - i); g_sum += (stack.g = (pg = pixels[p + 1])) * rbs; b_sum += (stack.b = (pb = pixels[p + 2])) * rbs; r_in_sum += pr; g_in_sum += pg; b_in_sum += pb; stack = stack.next; } stackIn = stackStart; stackOut = stackEnd; for (x = 0; x < width; x++) { pixels[yi] = (r_sum * mul_sum) >> shg_sum; pixels[yi + 1] = (g_sum * mul_sum) >> shg_sum; pixels[yi + 2] = (b_sum * mul_sum) >> shg_sum; r_sum -= r_out_sum; g_sum -= g_out_sum; b_sum -= b_out_sum; r_out_sum -= stackIn.r; g_out_sum -= stackIn.g; b_out_sum -= stackIn.b; p = (yw + ((p = x + radius + 1) < widthMinus1 ? p : widthMinus1)) << 2; r_in_sum += (stackIn.r = pixels[p]); g_in_sum += (stackIn.g = pixels[p + 1]); b_in_sum += (stackIn.b = pixels[p + 2]); r_sum += r_in_sum; g_sum += g_in_sum; b_sum += b_in_sum; stackIn = stackIn.next; r_out_sum += (pr = stackOut.r); g_out_sum += (pg = stackOut.g); b_out_sum += (pb = stackOut.b); r_in_sum -= pr; g_in_sum -= pg; b_in_sum -= pb; stackOut = stackOut.next; yi += 4; } yw += width; } for (x = 0; x < width; x++) { g_in_sum = b_in_sum = r_in_sum = g_sum = b_sum = r_sum = 0; yi = x << 2; r_out_sum = radiusPlus1 * (pr = pixels[yi]); g_out_sum = radiusPlus1 * (pg = pixels[yi + 1]); b_out_sum = radiusPlus1 * (pb = pixels[yi + 2]); r_sum += sumFactor * pr; g_sum += sumFactor * pg; b_sum += sumFactor * pb; stack = stackStart; for (i = 0; i < radiusPlus1; i++) { stack.r = pr; stack.g = pg; stack.b = pb; stack = stack.next; } yp = width; for (i = 1; i <= radius; i++) { yi = (yp + x) << 2; r_sum += (stack.r = (pr = pixels[yi])) * (rbs = radiusPlus1 - i); g_sum += (stack.g = (pg = pixels[yi + 1])) * rbs; b_sum += (stack.b = (pb = pixels[yi + 2])) * rbs; r_in_sum += pr; g_in_sum += pg; b_in_sum += pb; stack = stack.next; if (i < heightMinus1) { yp += width; } } yi = x; stackIn = stackStart; stackOut = stackEnd; for (y = 0; y < height; y++) { p = yi << 2; pixels[p] = (r_sum * mul_sum) >> shg_sum; pixels[p + 1] = (g_sum * mul_sum) >> shg_sum; pixels[p + 2] = (b_sum * mul_sum) >> shg_sum; r_sum -= r_out_sum; g_sum -= g_out_sum; b_sum -= b_out_sum; r_out_sum -= stackIn.r; g_out_sum -= stackIn.g; b_out_sum -= stackIn.b; p = (x + (((p = y + radiusPlus1) < heightMinus1 ? p : heightMinus1) * width)) << 2; r_sum += (r_in_sum += (stackIn.r = pixels[p])); g_sum += (g_in_sum += (stackIn.g = pixels[p + 1])); b_sum += (b_in_sum += (stackIn.b = pixels[p + 2])); stackIn = stackIn.next; r_out_sum += (pr = stackOut.r); g_out_sum += (pg = stackOut.g); b_out_sum += (pb = stackOut.b); r_in_sum -= pr; g_in_sum -= pg; b_in_sum -= pb; stackOut = stackOut.next; yi += width; } } context.putImageData(imageData, top_x, top_y);}export default function blurImage(img, canvas, radius) { var w = img.naturalWidth; var h = img.naturalHeight; canvas.width = w; canvas.height = h; var context = canvas.getContext("2d"); context.clearRect(0, 0, w, h); context.drawImage(img, 0, 0); if (isNaN(radius) || radius < 1) return; stackBlurCanvasRGB(canvas, 0, 0, w, h, radius);}
四、阿里雲圖片處理服務
如果圖片利用阿里雲的oss,可以直接利用阿里雲的圖片處理服務。
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