(Sketch Filter)素描滤镜

最后更新于:2022-04-01 06:46:15

(Sketch Filter)素描滤镜 素描滤镜的实现方法比较简单,这里我们直接写出算法过程如下: 1,对原图S进行去色命令得到灰度图A; 2,对A进行反色得到图像B; 3,对B进行高斯模糊得到图C; 4,将C与B进行颜色减淡的图层混合算法: P(x,y) = Pb(x,y) + (Pb(x,y)* Pc(x,y)) / (256 - Pc(x,y)); 在步骤3中,可以添加变量edgeIntensity(edgeIntensity>=0),来控制素描的边缘强度; 以上就是素描的算法实现。 核心代码如下: ~~~ private Bitmap SketchFilterProcess(Bitmap src, int edgeIntensity) { Bitmap gaussBitmap = gf.Apply(src, edgeIntensity); Bitmap dst = new Bitmap(src); int w = dst.Width; int h = dst.Height; BitmapData dstData = dst.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadWrite, PixelFormat.Format32bppArgb); BitmapData edgeData = gaussBitmap.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb); byte* pGauss = (byte*)edgeData.Scan0; byte* pDst = (byte*)dstData.Scan0; int offset = dstData.Stride - w * 4; int gray, graySrc, grayGauss; for (int j = 0; j < h; j++) { for (int i = 0; i < w; i++) { graySrc = (pDst[0] + pDst[1] + pDst[2]) / 3; grayGauss = 255 - (pGauss[0] + pGauss[1] + pGauss[2]) / 3; gray = graySrc + (graySrc * grayGauss) / (256 - grayGauss); gray = Math.Min(255, Math.Max(0, gray)); pDst[0] = (byte)gray; pDst[1] = (byte)gray; pDst[2] = (byte)gray; pDst[3] = (byte)255; pGauss += 4; pDst += 4; } pGauss += offset; pDst += offset; } dst.UnlockBits(dstData); gaussBitmap.UnlockBits(edgeData); return dst; } ~~~ 效果图如下所示: [![](https://docs.gechiui.com/gc-content/uploads/sites/kancloud/2016-01-05_568b3324a37ef.jpg)](http://www.zealpixel.com/data/attachment/portal/201507/27/111453xnq45gpgzc55s57s.jpg) 原图 [![](https://docs.gechiui.com/gc-content/uploads/sites/kancloud/2016-01-05_568b3324b9b2e.jpg)](http://www.zealpixel.com/data/attachment/portal/201507/27/111453s41clwppcfcnpvej.jpg) 素描滤镜效果图 最后放上完整C#/C程序DEMO下载连接:[http://www.zealpixel.com/thread-64-1-1.html](http://www.zealpixel.com/thread-64-1-1.html)
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