View之背景虚化处理(头像作为背景模糊化处理)
2015-09-24 09:55
369 查看
在工作中,遇到一个问题,要将用户的头像作为一个大背景,就是背景模糊化。
主要就是用到了下面这个类
主要就是用到了下面这个类
public class BlurImageview { /** 水平方向模糊度 */ private static float hRadius = 10; /** 竖直方向模糊度 */ private static float vRadius = 10; /** 模糊迭代度 */ private static int iterations = 10; /** * 图片高斯模糊处理 */ public static Drawable BlurImages (Bitmap bmp, Context context) { int width = bmp.getWidth(); int height = bmp.getHeight(); int[] inPixels = new int[width * height]; int[] outPixels = new int[width * height]; Bitmap bitmap = Bitmap. createBitmap(width, height, Bitmap.Config. ARGB_8888); bmp.getPixels(inPixels, 0, width, 0, 0, width, height); for ( int i = 0; i < iterations; i++) { blur(inPixels, outPixels, width, height, hRadius); blur(outPixels, inPixels, height, width, vRadius); } blurFractional(inPixels, outPixels, width, height, hRadius); blurFractional(outPixels, inPixels, height, width, vRadius); bitmap.setPixels(inPixels, 0, width, 0, 0, width, height); Drawable drawable = new BitmapDrawable(context.getResources(), bitmap); return drawable; } /** * 图片高斯模糊算法 */ public static void blur(int[] in, int[] out, int width, int height, float radius) { int widthMinus1 = width - 1; int r = ( int) radius; int tableSize = 2 * r + 1; int divide[] = new int[256 * tableSize]; for ( int i = 0; i < 256 * tableSize; i++) divide[i] = i / tableSize; int inIndex = 0; for ( int y = 0; y < height; y++) { int outIndex = y; int ta = 0, tr = 0, tg = 0, tb = 0; for ( int i = -r; i <= r; i++) { int rgb = in[inIndex + clamp(i, 0, width - 1)]; ta += (rgb >> 24) & 0xff; tr += (rgb >> 16) & 0xff; tg += (rgb >> 8) & 0xff; tb += rgb & 0xff; } for ( int x = 0; x < width; x++) { out[outIndex] = (divide[ta] << 24) | (divide<< 16) | (divide[tg] << 8) | divide[tb]; int i1 = x + r + 1; if (i1 > widthMinus1) i1 = widthMinus1; int i2 = x - r; if (i2 < 0) i2 = 0; int rgb1 = in[inIndex + i1]; int rgb2 = in[inIndex + i2]; ta += ((rgb1 >> 24) & 0xff) - ((rgb2 >> 24) & 0xff); tr += ((rgb1 & 0xff0000) - (rgb2 & 0xff0000)) >> 16; tg += ((rgb1 & 0xff00) - (rgb2 & 0xff00)) >> 8; tb += (rgb1 & 0xff) - (rgb2 & 0xff); outIndex += height; } inIndex += width; } } /** * 图片高斯模糊算法 */ public static void blurFractional( int[] in, int[] out, int width, int height, float radius) { radius -= ( int) radius; float f = 1.0f / (1 + 2 * radius); int inIndex = 0; for ( int y = 0; y < height; y++) { int outIndex = y; out[outIndex] = in[0]; outIndex += height; for ( int x = 1; x < width - 1; x++) { int i = inIndex + x; int rgb1 = in[i - 1]; int rgb2 = in[i]; int rgb3 = in[i + 1]; int a1 = (rgb1 >> 24) & 0xff; int r1 = (rgb1 >> 16) & 0xff; int g1 = (rgb1 >> 8) & 0xff; int b1 = rgb1 & 0xff; int a2 = (rgb2 >> 24) & 0xff; int r2 = (rgb2 >> 16) & 0xff; int g2 = (rgb2 >> 8) & 0xff; int b2 = rgb2 & 0xff; int a3 = (rgb3 >> 24) & 0xff; int r3 = (rgb3 >> 16) & 0xff; int g3 = (rgb3 >> 8) & 0xff; int b3 = rgb3 & 0xff; a1 = a2 + ( int) ((a1 + a3) * radius); r1 = r2 + ( int) ((r1 + r3) * radius); g1 = g2 + ( int) ((g1 + g3) * radius); b1 = b2 + ( int) ((b1 + b3) * radius); a1 *= f; r1 *= f; g1 *= f; b1 *= f; out[outIndex] = (a1 << 24) | (r1 << 16) | (g1 << 8) | b1; outIndex += height; } out[outIndex] = in[width - 1]; inIndex += width; } } public static int clamp(int x, int a, int b) { return (x < a) ? a : (x > b) ? b : x; }
如果和调用呢?view. setBackgroundDrawable(BlurImageview. BlurImages(bitmap, MainActivity.this ));相关文章推荐
- SSD 下的 MySQL IO 优化
- VS 关于 .sln 文件和 .suo 文件
- 正则匹配图片图片图片地址
- javaee基本环境搭建
- 7个步骤让PC网站自动适配手机网页
- 常用药列表
- ZOJ 题目3195 Design the city(LCA+RMQ)
- [贪心]UVa11093 - Just Finish it up
- eclipse maven plugin 插件 安装 和 配置
- POJ 3241 曼哈顿距离最小生成树 Object Clustering
- 聚类分析
- Hadoop Streaming原理及实践
- oracle 11g oem的建立方法
- mybatis-spring从1.1升级到1.2所带来的dao层级的编写问题
- 自动化测试框架Cucumber和RobotFramework的实战对比
- JAVA程序员必看的15本书-JAVA自学书籍推荐
- NPOI导出Excel
- CEF General Usage(CEF3预览)
- 使用CAShapeLayer做出圆形的进度条 —— #DF!
- IOS版应用商店应用源码