1.图片处理
原文地址：http://www.cnblogs.com/malinkang/archive/2013/03/19/2970248.html
1.圆角图片
/** * 转换成圆角 * * @param bmp * @param roundPx * @return */ public static Bitmap convertToRoundedCorner(Bitmap bmp, float roundPx) { Bitmap newBmp = Bitmap.createBitmap(bmp.getWidth(), bmp.getHeight(), Config.ARGB_8888); // 得到画布 Canvas canvas = new Canvas(newBmp); final int color = 0xff424242; final Paint paint = new Paint(); final Rect rect = new Rect(0, 0, bmp.getWidth(), bmp.getHeight()); final RectF rectF = new RectF(rect); paint.setAntiAlias(true); canvas.drawARGB(0, 0, 0, 0); paint.setColor(color); // 第二个和第三个参数一样则画的是正圆的一角，否则是椭圆的一角 canvas.drawRoundRect(rectF, roundPx, roundPx, paint); paint.setXfermode(new PorterDuffXfermode(Mode.SRC_IN)); canvas.drawBitmap(bmp, rect, rect, paint); return newBmp; }
2.滤镜效果
1.黑白效果
/** * 将彩色图转换为黑白图 * * @param 位图 * @return 返回转换好的位图 */ public static Bitmap convertToBlackWhite(Bitmap bmp) { int width = bmp.getWidth(); // 获取位图的宽 int height = bmp.getHeight(); // 获取位图的高 int[] pixels = new int[width * height]; // 通过位图的大小创建像素点数组 bmp.getPixels(pixels, 0, width, 0, 0, width, height); int alpha = 0xFF << 24; for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { int grey = pixels[width * i + j]; int red = ((grey & 0x00FF0000) >> 16); int green = ((grey & 0x0000FF00) >> 8); int blue = (grey & 0x000000FF); grey = (int) (red * 0.3 + green * 0.59 + blue * 0.11); grey = alpha | (grey << 16) | (grey << 8) | grey; pixels[width * i + j] = grey; } } Bitmap newBmp = Bitmap.createBitmap(width, height, Config.RGB_565); newBmp.setPixels(pixels, 0, width, 0, 0, width, height); return newBmp; }
2.高斯模糊
/** * 高斯模糊 * * @param bmp * @return */ public static Bitmap convertToBlur(Bitmap bmp) { // 高斯矩阵 int[] gauss = new int[] { 1, 2, 1, 2, 4, 2, 1, 2, 1 }; int width = bmp.getWidth(); int height = bmp.getHeight(); Bitmap newBmp = Bitmap.createBitmap(width, height, Bitmap.Config.RGB_565); int pixR = 0; int pixG = 0; int pixB = 0; int pixColor = 0; int newR = 0; int newG = 0; int newB = 0; int delta = 16; // 值越小图片会越亮，越大则越暗 int idx = 0; int[] pixels = new int[width * height]; bmp.getPixels(pixels, 0, width, 0, 0, width, height); for (int i = 1, length = height - 1; i < length; i++) { for (int k = 1, len = width - 1; k < len; k++) { idx = 0; for (int m = -1; m <= 1; m++) { for (int n = -1; n <= 1; n++) { pixColor = pixels[(i + m) * width + k + n]; pixR = Color.red(pixColor); pixG = Color.green(pixColor); pixB = Color.blue(pixColor); newR = newR + pixR * gauss[idx]; newG = newG + pixG * gauss[idx]; newB = newB + pixB * gauss[idx]; idx++; } } newR /= delta; newG /= delta; newB /= delta; newR = Math.min(255, Math.max(0, newR)); newG = Math.min(255, Math.max(0, newG)); newB = Math.min(255, Math.max(0, newB)); pixels[i * width + k] = Color.argb(255, newR, newG, newB); newR = 0; newG = 0; newB = 0; } } newBmp.setPixels(pixels, 0, width, 0, 0, width, height); return newBmp; }
3.素描效果
/** * 素描效果 * * @param bmp * @return */ public static Bitmap convertToSketch(Bitmap bmp) { int pos, row, col, clr; int width = bmp.getWidth(); int height = bmp.getHeight(); int[] pixSrc = new int[width * height]; int[] pixNvt = new int[width * height]; // 先对图象的像素处理成灰度颜色后再取反 bmp.getPixels(pixSrc, 0, width, 0, 0, width, height); for (row = 0; row < height; row++) { for (col = 0; col < width; col++) { pos = row * width + col; pixSrc[pos] = (Color.red(pixSrc[pos]) + Color.green(pixSrc[pos]) + Color.blue(pixSrc[pos])) / 3; pixNvt[pos] = 255 - pixSrc[pos]; } } // 对取反的像素进行高斯模糊, 强度可以设置，暂定为5.0 gaussGray(pixNvt, 5.0, 5.0, width, height); // 灰度颜色和模糊后像素进行差值运算 for (row = 0; row < height; row++) { for (col = 0; col < width; col++) { pos = row * width + col; clr = pixSrc[pos] << 8; clr /= 256 - pixNvt[pos]; clr = Math.min(clr, 255); pixSrc[pos] = Color.rgb(clr, clr, clr); } } bmp.setPixels(pixSrc, 0, width, 0, 0, width, height); return bmp; } private static int gaussGray(int[] psrc, double horz, double vert, int width, int height) { int[] dst, src; double[] n_p, n_m, d_p, d_m, bd_p, bd_m; double[] val_p, val_m; int i, j, t, k, row, col, terms; int[] initial_p, initial_m; double std_dev; int row_stride = width; int max_len = Math.max(width, height); int sp_p_idx, sp_m_idx, vp_idx, vm_idx; val_p = new double[max_len]; val_m = new double[max_len]; n_p = new double[5]; n_m = new double[5]; d_p = new double[5]; d_m = new double[5]; bd_p = new double[5]; bd_m = new double[5]; src = new int[max_len]; dst = new int[max_len]; initial_p = new int[4]; initial_m = new int[4]; // 垂直方向 if (vert > 0.0) { vert = Math.abs(vert) + 1.0; std_dev = Math.sqrt(-(vert * vert) / (2 * Math.log(1.0 / 255.0))); // 初试化常量 findConstants(n_p, n_m, d_p, d_m, bd_p, bd_m, std_dev); for (col = 0; col < width; col++) { for (k = 0; k < max_len; k++) { val_m[k] = val_p[k] = 0; } for (t = 0; t < height; t++) { src[t] = psrc[t * row_stride + col]; } sp_p_idx = 0; sp_m_idx = height - 1; vp_idx = 0; vm_idx = height - 1; initial_p[0] = src[0]; initial_m[0] = src[height - 1]; for (row = 0; row < height; row++) { terms = (row < 4) ? row : 4; for (i = 0; i <= terms; i++) { val_p[vp_idx] += n_p[i] * src[sp_p_idx - i] - d_p[i] * val_p[vp_idx - i]; val_m[vm_idx] += n_m[i] * src[sp_m_idx + i] - d_m[i] * val_m[vm_idx + i]; } for (j = i; j <= 4; j++) { val_p[vp_idx] += (n_p[j] - bd_p[j]) * initial_p[0]; val_m[vm_idx] += (n_m[j] - bd_m[j]) * initial_m[0]; } sp_p_idx++; sp_m_idx--; vp_idx++; vm_idx--; } transferGaussPixels(val_p, val_m, dst, 1, height); for (t = 0; t < height; t++) { psrc[t * row_stride + col] = dst[t]; } } } // 水平方向 if (horz > 0.0) { horz = Math.abs(horz) + 1.0; if (horz != vert) { std_dev = Math.sqrt(-(horz * horz) / (2 * Math.log(1.0 / 255.0))); // 初试化常量 findConstants(n_p, n_m, d_p, d_m, bd_p, bd_m, std_dev); } for (row = 0; row < height; row++) { for (k = 0; k < max_len; k++) { val_m[k] = val_p[k] = 0; } for (t = 0; t < width; t++) { src[t] = psrc[row * row_stride + t]; } sp_p_idx = 0; sp_m_idx = width - 1; vp_idx = 0; vm_idx = width - 1; initial_p[0] = src[0]; initial_m[0] = src[width - 1]; for (col = 0; col < width; col++) { terms = (col < 4) ? col : 4; for (i = 0; i <= terms; i++) { val_p[vp_idx] += n_p[i] * src[sp_p_idx - i] - d_p[i] * val_p[vp_idx - i]; val_m[vm_idx] += n_m[i] * src[sp_m_idx + i] - d_m[i] * val_m[vm_idx + i]; } for (j = i; j <= 4; j++) { val_p[vp_idx] += (n_p[j] - bd_p[j]) * initial_p[0]; val_m[vm_idx] += (n_m[j] - bd_m[j]) * initial_m[0]; } sp_p_idx++; sp_m_idx--; vp_idx++; vm_idx--; } transferGaussPixels(val_p, val_m, dst, 1, width); for (t = 0; t < width; t++) { psrc[row * row_stride + t] = dst[t]; } } } return 0; } private static void transferGaussPixels(double[] src1, double[] src2, int[] dest, int bytes, int width) { int i, j, k, b; int bend = bytes * width; double sum; i = j = k = 0; for (b = 0; b < bend; b++) { sum = src1[i++] + src2[j++]; if (sum > 255) sum = 255; else if (sum < 0) sum = 0; dest[k++] = (int) sum; } } private static void findConstants(double[] n_p, double[] n_m, double[] d_p, double[] d_m, double[] bd_p, double[] bd_m, double std_dev) { double div = Math.sqrt(2 * 3.141593) * std_dev; double x0 = -1.783 / std_dev; double x1 = -1.723 / std_dev; double x2 = 0.6318 / std_dev; double x3 = 1.997 / std_dev; double x4 = 1.6803 / div; double x5 = 3.735 / div; double x6 = -0.6803 / div; double x7 = -0.2598 / div; int i; n_p[0] = x4 + x6; n_p[1] = (Math.exp(x1) * (x7 * Math.sin(x3) - (x6 + 2 * x4) * Math.cos(x3)) + Math .exp(x0) * (x5 * Math.sin(x2) - (2 * x6 + x4) * Math.cos(x2))); n_p[2] = (2 * Math.exp(x0 + x1) * ((x4 + x6) * Math.cos(x3) * Math.cos(x2) - x5 * Math.cos(x3) * Math.sin(x2) - x7 * Math.cos(x2) * Math.sin(x3)) + x6 * Math.exp(2 * x0) + x4 * Math.exp(2 * x1)); n_p[3] = (Math.exp(x1 + 2 * x0) * (x7 * Math.sin(x3) - x6 * Math.cos(x3)) + Math.exp(x0 + 2 * x1) * (x5 * Math.sin(x2) - x4 * Math.cos(x2))); n_p[4] = 0.0; d_p[0] = 0.0; d_p[1] = -2 * Math.exp(x1) * Math.cos(x3) - 2 * Math.exp(x0) * Math.cos(x2); d_p[2] = 4 * Math.cos(x3) * Math.cos(x2) * Math.exp(x0 + x1) + Math.exp(2 * x1) + Math.exp(2 * x0); d_p[3] = -2 * Math.cos(x2) * Math.exp(x0 + 2 * x1) - 2 * Math.cos(x3) * Math.exp(x1 + 2 * x0); d_p[4] = Math.exp(2 * x0 + 2 * x1); for (i = 0; i <= 4; i++) { d_m[i] = d_p[i]; } n_m[0] = 0.0; for (i = 1; i <= 4; i++) { n_m[i] = n_p[i] - d_p[i] * n_p[0]; } double sum_n_p, sum_n_m, sum_d; double a, b; sum_n_p = 0.0; sum_n_m = 0.0; sum_d = 0.0; for (i = 0; i <= 4; i++) { sum_n_p += n_p[i]; sum_n_m += n_m[i]; sum_d += d_p[i]; } a = sum_n_p / (1.0 + sum_d); b = sum_n_m / (1.0 + sum_d); for (i = 0; i <= 4; i++) { bd_p[i] = d_p[i] * a; bd_m[i] = d_m[i] * b; } }
4.锐化
/** * 图片锐化（拉普拉斯变换） * * @param bmp * @return */ public static Bitmap sharpenImageAmeliorate(Bitmap bmp) { // 拉普拉斯矩阵 int[] laplacian = new int[] { -1, -1, -1, -1, 9, -1, -1, -1, -1 }; int width = bmp.getWidth(); int height = bmp.getHeight(); Bitmap bitmap = Bitmap.createBitmap(width, height, Bitmap.Config.RGB_565); int pixR = 0; int pixG = 0; int pixB = 0; int pixColor = 0; int newR = 0; int newG = 0; int newB = 0; int idx = 0; float alpha = 0.3F; int[] pixels = new int[width * height]; bmp.getPixels(pixels, 0, width, 0, 0, width, height); for (int i = 1, length = height - 1; i < length; i++) { for (int k = 1, len = width - 1; k < len; k++) { idx = 0; for (int m = -1; m <= 1; m++) { for (int n = -1; n <= 1; n++) { pixColor = pixels[(i + n) * width + k + m]; pixR = Color.red(pixColor); pixG = Color.green(pixColor); pixB = Color.blue(pixColor); newR = newR + (int) (pixR * laplacian[idx] * alpha); newG = newG + (int) (pixG * laplacian[idx] * alpha); newB = newB + (int) (pixB * laplacian[idx] * alpha); idx++; } } newR = Math.min(255, Math.max(0, newR)); newG = Math.min(255, Math.max(0, newG)); newB = Math.min(255, Math.max(0, newB)); pixels[i * width + k] = Color.argb(255, newR, newG, newB); newR = 0; newG = 0; newB = 0; } } bitmap.setPixels(pixels, 0, width, 0, 0, width, height); return bitmap; }
5.浮雕
/** * 锐化效果 * * @param bmp * @return */ public static Bitmap convertToEmboss(Bitmap bmp) { int width = bmp.getWidth(); int height = bmp.getHeight(); Bitmap newBmp = Bitmap.createBitmap(width, height, Bitmap.Config.RGB_565); int pixR = 0; int pixG = 0; int pixB = 0; int pixColor = 0; int newR = 0; int newG = 0; int newB = 0; int[] pixels = new int[width * height]; bmp.getPixels(pixels, 0, width, 0, 0, width, height); int pos = 0; for (int i = 1, length = height - 1; i < length; i++) { for (int k = 1, len = width - 1; k < len; k++) { pos = i * width + k; pixColor = pixels[pos]; pixR = Color.red(pixColor); pixG = Color.green(pixColor); pixB = Color.blue(pixColor); pixColor = pixels[pos + 1]; newR = Color.red(pixColor) - pixR + 127; newG = Color.green(pixColor) - pixG + 127; newB = Color.blue(pixColor) - pixB + 127; newR = Math.min(255, Math.max(0, newR)); newG = Math.min(255, Math.max(0, newG)); newB = Math.min(255, Math.max(0, newB)); pixels[pos] = Color.argb(255, newR, newG, newB); } } newBmp.setPixels(pixels, 0, width, 0, 0, width, height); return newBmp; }
3.参考&资料
1.https://github.com/daizhenjun/ImageFilterForAndroid
2.http://www.eoeandroid.com/thread-178656-1-1.html
3.http://www.oschina.net/question/231733_44154
4.http://gundumw100.iteye.com/blog/849729
