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Android仿虾米音乐播放器之专辑图片模糊处理

时间:2019-04-04 09:32:14

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Android仿虾米音乐播放器之专辑图片模糊处理

用过虾米音乐的都知道歌词界面的背景不是固定的,而是根据专辑图片动态生成的,一开始我的实现方式是将图片放大然后显示成背景,然后看起来就像是马赛克的界面,没有平滑的感觉,于是想到了将图片模糊化然后再设置成背景,就像下面这样的效果。

知道用模糊处理后,当然是先找现成的轮子了,了解了一下还真的有模糊处理的库文件,几个用的比较多的有Renderscript,FastBlur,从github上将代码下载下来后导入就出了错误,好像是需要用工具编译一下,可惜不会,就只有先放弃这种方式了,最后还是在stackoverflow上找到了模糊处理的代码,不是库文件,而是直接的一个方法,首先获取图片的Config,然后建立一个图片像素长宽乘积的数组,通过计算周边的平均rgb值来设置最终的像素。

/*** 模糊处理专辑图片 * @param sentBitmap* @param radius* @return*/public static Bitmap fastblur(Bitmap sentBitmap, int radius) {Bitmap bitmap = sentBitmap.copy(sentBitmap.getConfig(), true);if (radius < 1) {return (null);}int w = bitmap.getWidth();int h = bitmap.getHeight();int[] pix = new int[w * h];bitmap.getPixels(pix, 0, w, 0, 0, w, h);int wm = w - 1;int hm = h - 1;int wh = w * h;int div = radius + radius + 1;int r[] = new int[wh];int g[] = new int[wh];int b[] = new int[wh];int rsum, gsum, bsum, x, y, i, p, yp, yi, yw;int vmin[] = new int[Math.max(w, h)];int divsum = (div + 1) >> 1;divsum *= divsum;int dv[] = new int[256 * divsum];for (i = 0; i < 256 * divsum; i++) {dv[i] = (i / divsum);}yw = yi = 0;int[][] stack = new int[div][3];int stackpointer;int stackstart;int[] sir;int rbs;int r1 = radius + 1;int routsum, goutsum, boutsum;int rinsum, ginsum, binsum;for (y = 0; y < h; y++) {rinsum = ginsum = binsum = routsum = goutsum = boutsum = rsum = gsum = bsum = 0;for (i = -radius; i <= radius; i++) {p = pix[yi + Math.min(wm, Math.max(i, 0))];sir = stack[i + radius];sir[0] = (p & 0xff0000) >> 16;sir[1] = (p & 0x00ff00) >> 8;sir[2] = (p & 0x0000ff);rbs = r1 - Math.abs(i);rsum += sir[0] * rbs;gsum += sir[1] * rbs;bsum += sir[2] * rbs;if (i > 0) {rinsum += sir[0];ginsum += sir[1];binsum += sir[2];} else {routsum += sir[0];goutsum += sir[1];boutsum += sir[2];}}stackpointer = radius;for (x = 0; x < w; x++) {r[yi] = dv[rsum];g[yi] = dv[gsum];b[yi] = dv[bsum];rsum -= routsum;gsum -= goutsum;bsum -= boutsum;stackstart = stackpointer - radius + div;sir = stack[stackstart % div];routsum -= sir[0];goutsum -= sir[1];boutsum -= sir[2];if (y == 0) {vmin[x] = Math.min(x + radius + 1, wm);}p = pix[yw + vmin[x]];//原版是0xFF0000 0x00FF00 0x0000FF//sir[0] = (p & 0x660000) >> 16;//sir[1] = (p & 0x006600) >> 8;//sir[2] = (p & 0x000066);sir[0] = (p & 0xAA0000) >> 16;sir[1] = (p & 0x00AA00) >> 8;sir[2] = (p & 0x0000AA);rinsum += sir[0];ginsum += sir[1];binsum += sir[2];rsum += rinsum;gsum += ginsum;bsum += binsum;stackpointer = (stackpointer + 1) % div;sir = stack[(stackpointer) % div];routsum += sir[0];goutsum += sir[1];boutsum += sir[2];rinsum -= sir[0];ginsum -= sir[1];binsum -= sir[2];yi++;}yw += w;}for (x = 0; x < w; x++) {rinsum = ginsum = binsum = routsum = goutsum = boutsum = rsum = gsum = bsum = 0;yp = -radius * w;for (i = -radius; i <= radius; i++) {yi = Math.max(0, yp) + x;sir = stack[i + radius];sir[0] = r[yi];sir[1] = g[yi];sir[2] = b[yi];rbs = r1 - Math.abs(i);rsum += r[yi] * rbs;gsum += g[yi] * rbs;bsum += b[yi] * rbs;if (i > 0) {rinsum += sir[0];ginsum += sir[1];binsum += sir[2];} else {routsum += sir[0];goutsum += sir[1];boutsum += sir[2];}if (i < hm) {yp += w;}}yi = x;stackpointer = radius;for (y = 0; y < h; y++) {pix[yi] = ( 0xff000000 & pix[yi] ) | ( dv[rsum] << 16 ) | ( dv[gsum] << 8 ) | dv[bsum];rsum -= routsum;gsum -= goutsum;bsum -= boutsum;stackstart = stackpointer - radius + div;sir = stack[stackstart % div];routsum -= sir[0];goutsum -= sir[1];boutsum -= sir[2];if (x == 0) {vmin[y] = Math.min(y + r1, hm) * w;}p = x + vmin[y];sir[0] = r[p];sir[1] = g[p];sir[2] = b[p];rinsum += sir[0];ginsum += sir[1];binsum += sir[2];rsum += rinsum;gsum += ginsum;bsum += binsum;stackpointer = (stackpointer + 1) % div;sir = stack[stackpointer];routsum += sir[0];goutsum += sir[1];boutsum += sir[2];rinsum -= sir[0];ginsum -= sir[1];binsum -= sir[2];yi += w;}}bitmap.setPixels(pix, 0, w, 0, 0, w, h);return (bitmap);}

中间有一段代码是与RGB为红绿蓝取与的运算,原版中是设置为OxFF0000,0x00FF00,0x0000FF,这样平均下来如果专辑颜色十分的白,最终的结果也会很白,会遮盖住进度条,按钮,所以将值Ox660000,0x006600,0x000066,这样即使是白色的专辑显示的整体也是灰色,辨识度较高。其中两个参数一个是bitmap对象,一个是模糊程度,值越大越模糊。

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