Android 图片模糊化处理

jopen 10年前

/** 水平方向模糊度 */   private static float hRadius = 5;   /** 竖直方向模糊度 */   private static float vRadius = 5;   /** 模糊迭代度 */   private static int iterations =3;     /**    * 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[tr] << 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;   }