Android图像处理（二）底片效果、怀旧效果、浮雕效果
16lz
2021-01-25
/** * 底片效果 * * ABC3个像素点 * 求B点的底片效果算法： * B.r = 255 - B.r; * B.g = 255 - B.g; * B.b = 255 - B.b; * * @param bm * @return */ public static Bitmap handleImageNegative(Bitmap bm) { //返回的就是像素点个数 int width = bm.getWidth(); int height = bm.getHeight(); //用于存储当前取出来的颜色 int color; //用于保存颜色中取出来的四个分量 int r, g, b ,a; Bitmap bmp = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888); //保存像素点数组到图像 int[] oldPx = new int[width * height]; int[] newPx = new int[width * height]; //第三个参数 stride 多少个算一行 一般为width bm.getPixels(oldPx, 0, width, 0, 0, width, height); for (int i = 0; i < width * height; i++) { color = oldPx[i]; r = Color.red(color); g = Color.green(color); b = Color.blue(color); a = Color.alpha(color); r = 255 - r; g = 255 - g; b = 255 - b; if (r > 255) { r = 255; } else if (r < 0) { r = 0; } if (g > 255) { g = 255; } else if (g < 0) { g = 0; } if (b > 255) { b = 255; } else if (b < 0) { b = 0; } newPx[i] = Color.argb(a, r, g, b); } bmp.setPixels(newPx, 0, width, 0, 0, width, height); return bmp; } /** * 怀旧效果 * * 求像素点的老照片效果算法 * newR = (int) (0.393 * pixR + 0.769 * pixG + 0.189 * pixB); * newG = (int) (0.349 * pixR + 0.686 * pixG + 0.168 * pixB); * newB = (int) (0.272 * pixR + 0.534 * pixG + 0.131 * pixB); * * @param bm * @return */ public static Bitmap handleImagePixelOldPhoto(Bitmap bm) { int width = bm.getWidth(); int height = bm.getHeight(); int color = 0; int r, g, b, a, r1, b1, g1; Bitmap bmp = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888); int[] oldPx = new int[width * height]; int[] newPx = new int[width * height]; bm.getPixels(oldPx, 0, width, 0, 0, width, height); for (int i = 0; i < width * height; i++) { color = oldPx[i]; r = Color.red(color); g = Color.green(color); b = Color.blue(color); a = Color.alpha(color); r1 = (int) (0.393 * r + 0.769 * g + 0.189 * b); g1 = (int) (0.349 * r + 0.686 * g + 0.168 * b); b1 = (int) (0.272 * r + 0.534 * g + 0.131 * b); if (r1 > 255) { r1 = 255; } if (g1 > 255) { g1 = 255; } if (b1 > 255) { b1 = 255; } newPx[i] = Color.argb(a, r1, g1, b1); } bmp.setPixels(newPx, 0, width, 0, 0, width, height); return bmp; } /** * 浮雕效果 * * ABC * 求B点的浮雕效果算法： * B.r = C.r - B.r + 127 * B.g = C.g - B.g + 127 * B.r = C.b - B.b + 127 * * @param bm * @return */ public static Bitmap handleImagePixelsRelief(Bitmap bm) { int width = bm.getWidth(); int height = bm.getHeight(); int color = 0; int colorBefore = 0; int r, g, b, a; int r1, b1, g1; int oldPx[] = new int[width * height]; int newPx[] = new int[width * height]; Bitmap bmp = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888); bm.getPixels(oldPx, 0, width, 0, 0, width, height); //注意要从1开始！！！ for (int i = 1; i < width * height; i++) { colorBefore = oldPx[i - 1]; a = Color.alpha(colorBefore); r = Color.red(colorBefore); g = Color.green(colorBefore); b = Color.blue(colorBefore); color = oldPx[i]; r1 = Color.red(color); g1 = Color.green(color); b1 = Color.blue(color); r = r - r1 + 127; g = g - g1 + 127; b = b - b1 + 127; if (r > 255) { r = 255; } if (g > 255) { g = 255; } if (b > 255) { b = 255; } newPx[i] = Color.argb(a, r, g, b); } bmp.setPixels(newPx, 0, width, 0, 0, width, height); return bmp; }}https://github.com/LiuchangDuan/demo
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