(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)