夏天到了美女穿的也很清爽,朋友圈各种晒图,单身狗的一种福利,不过这些照片并不真实,通过美颜相机处理过,在好奇心的作用下学习了图片处理效果以及原理,下面就是我学习的笔记,有用的到的朋友可以去到这个地方获得https://github.com/suhuMM/ImageMatrix.git
对图片处理,我做了简单两方面:一方面只修改色光属性,别的不进行修改,就比如将一个东西放在不同颜色,光强的灯光下。另一方面,将图片细化到每一个像素,对每一个像素进行修改,就比如在外界相同的环境下,一个胖子变成瘦子。
一、修改色光属性:
1.色调:setRotate(int axis , float degree)设置颜色色调
axis:系统分别使用0,1,2代表红绿蓝三种颜色
degree:需要处理的值
hueMatrix.setRotate(0, vHue);
hueMatrix.setRotate(1, vHue);
hueMatrix.setRotate(2, vHue);
2.饱和度:setSaturation(float sat)设置颜色饱和度
sat为0的时候,图片就变成灰度图像
saturationMatrix.setSaturation(vSaturation
3.亮度:setSacale(float rScale,float gScale,float bScale,float aScale,)
aScale:为0的时候图片为全黑
代码:
public Bitmap handleImageEffect(Bitmap bm, float vHue, float vSaturation, float vLum) { Bitmap bitmap = Bitmap.createBitmap(bm.getWidth(), bm.getHeight(), Bitmap.Config.RGB_565); Canvas canvas = new Canvas(bitmap); Paint paint = new Paint(); ColorMatrix hueMatrix = new ColorMatrix(); hueMatrix.setRotate(0, vHue); hueMatrix.setRotate(1, vHue); hueMatrix.setRotate(2, vHue); ColorMatrix saturationMatrix = new ColorMatrix(); saturationMatrix.setSaturation(vSaturation); ColorMatrix lumMatrix = new ColorMatrix(); lumMatrix.setScale(vLum, vLum, vLum, 1); ColorMatrix imageMatrix = new ColorMatrix(); imageMatrix.postConcat(hueMatrix); imageMatrix.postConcat(saturationMatrix); imageMatrix.postConcat(lumMatrix); paint.setColorFilter(new ColorMatrixColorFilter(imageMatrix)); canvas.drawBitmap(bm, 0, 0, paint); return bitmap; }
效果图1:
效果图2:
二,修改像素点
图片是由一个一个像素点组成,要想随心所欲修改就得需要修改单个像素色值,一个图片如何得到像素集合呢?Android已经提供好方法:
bitmap.getPixels(pixels, offset, stride, x, y, width, height);
pixels:接收图位颜色值的数组
offset:偏移量(写入到pixels[]中的第一个像素索引值)
stride:pixels[] 中行间距(与width对应)
x:读取第一个像素x坐标
y:读取第一个像素y坐标
width:每一行读取像素宽度
height:读取的行数
1.底片效果:
代码:
<script src="https://code.csdn.net/snippets/2436730.js"></script>
/** * @param bm 算法: * B.r = 255-B.r * B.g = 255-B.g * B.b = 255-B.g * @method 底片效果 */ public static Bitmap negativeImage(Bitmap bm) { int width = bm.getWidth(); int height = bm.getHeight(); int color, r, g, b, a; 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 < oldPx.length; 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; }
效果图:
2.照片变老
代码:
/** * @param bm 算法: * 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); * @method 老照片 */ public static Bitmap oldImage(Bitmap bm) { int width = bm.getWidth(); int height = bm.getHeight(); int color, r, g, b, r1, g1, b1, a1; 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 < oldPx.length; i++) { color = oldPx[i]; r = Color.red(color); g = Color.green(color); b = Color.blue(color); a1 = 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; } else if (r1 < 0) { r1 = 0; } if (g1 > 255) { g1 = 255; } else if (r1 < 0) { g1 = 0; } if (b1 > 255) { b1 = 255; } else if (r1 < 0) { b1 = 0; } newPx[i] = Color.argb(a1, r1, g1, b1); } bmp.setPixels(newPx, 0, width, 0, 0, width, height); return bmp; }
效果图:
3.浮雕效果:
代码:
/** * @param bm 算法:用前一个像素点的RGB值减去当前像素值加上127作为当前像素的RGB值 * B.r = C.r-B.r+127 * B.g = C.g-B.g+127 * B.b = C.b-B.b+127 * @method 浮雕效果 */ public static Bitmap reliefImage(Bitmap bm) { int width = bm.getWidth(); int height = bm.getHeight(); int color_c, color, cr, cg, cb, r, g, b, a; 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 = 1; i < oldPx.length; i++) { color_c = oldPx[i - 1]; cr = Color.red(color_c); cg = Color.green(color_c); cb = Color.blue(color_c); color = oldPx[i]; r = Color.red(color); g = Color.green(color); b = Color.blue(color); a = Color.alpha(color); r = cr - r + 127; g = cg - g + 127; b = cb - b + 127; 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; }
效果图:
4.部分修改:
代码:
/** * @param bm 算法: * B.r = 255-B.r * B.g = 255-B.g * B.b = 255-B.g * @method 处理一部分(不合成) */ public static Bitmap halfNegativeImage(Bitmap bm) { int width = bm.getWidth(); int newWidth = width/2; int height = bm.getHeight(); int color_c, color, cr, cg, cb,r, g, b, a; 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 < oldPx.length; i++) { color = oldPx[i]; r = Color.red(color); g = Color.green(color); b = Color.blue(color); a = Color.alpha(color); //左边的点修改成底片效果 if(i%width<=newWidth){ r = 255 - r; g = 255 - g; b = 255 - b; }else { //右边的照片浮雕效果 color_c = oldPx[i - 1]; cr = Color.red(color_c); cg = Color.green(color_c); cb = Color.blue(color_c); r = cr - r + 127; g = cg - g + 127; b = cb - b + 127; } 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; }
效果:
5.两个图合成:
代码:
/** * @param bm 算法: * B.r = 255-B.r * B.g = 255-B.g * B.b = 255-B.g * @method 处理一部分(合成) * @author suhu * @time 2017/6/6 13:32 */ public static Bitmap syntheticHalfNegativeImage(Bitmap bm) { int width = bm.getWidth(); int newWidth = width/2; int height = bm.getHeight(); int color, r, g, b, a; Bitmap bmp = Bitmap.createBitmap(newWidth, height, Bitmap.Config.ARGB_8888); int[] oldPx = new int[newWidth * height]; int[] newPx = new int[newWidth * height]; bm.getPixels(oldPx, 0, newWidth, 0, 0, newWidth, height); for (int i = 0; i < oldPx.length; 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, newWidth, 0, 0, newWidth, height); //合成照片 Bitmap bitmap = Bitmap.createBitmap(width,height, Bitmap.Config.ARGB_8888); Canvas canvas = new Canvas(bitmap); canvas.drawBitmap(bm,0,0,null); canvas.drawBitmap(bmp,0,0,null); canvas.save(); return bitmap; }
项目源码:https://github.com/suhuMM/ImageMatrix.git
项目在持续更新,希望大家多多指正