C#图片处理之:最简单的柔化算法

与锐化相反，柔化是使图片看起来更柔滑（其实也是模糊的委婉的说法）。柔化的一个最简单的实现算法就是取图片上的每一点（图片边缘点忽略），计算它周围八个点的平均值作为新像素值。想想也是，之所以看起来模糊，确实是因为周围的点长的有点像，区别不太明显。

        // ============================柔化==============================
  /**//// <summary>
  /// 柔化
  /// <param name="b">原始图</param>
  /// <returns>输出图</returns>

        public static Bitmap KiBlur(Bitmap b)
  ...{

  if (b == null)
  ...{
  return null;
}

  int w = b.Width;
  int h = b.Height;

  try
  ...{

Bitmap bmpRtn = new Bitmap(w, h, PixelFormat.Format24bppRgb);

BitmapData srcData = b.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
BitmapData dstData = bmpRtn.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.WriteOnly, PixelFormat.Format24bppRgb);

  unsafe
  ...{
  byte* pIn = (byte*)srcData.Scan0.ToPointer();
  byte* pOut = (byte*)dstData.Scan0.ToPointer();
  int stride = srcData.Stride;
  byte* p;

  for (int y = 0; y < h; y++)
  ...{
  for (int x = 0; x < w; x++)
  ...{
  //取周围9点的值
  if (x == 0 || x == w - 1 || y == 0 || y == h - 1)
  ...{
  //不做
pOut[0] = pIn[0];
pOut[1] = pIn[1];
pOut[2] = pIn[2];
}
  else
  ...{
  int r1, r2, r3, r4, r5, r6, r7, r8, r9;
  int g1, g2, g3, g4, g5, g6, g7, g8, g9;
  int b1, b2, b3, b4, b5, b6, b7, b8, b9;

  float vR, vG, vB;

  //左上
p = pIn - stride - 3;
r1 = p[2];
g1 = p[1];
b1 = p[0];

  //正上
p = pIn - stride;
r2 = p[2];
g2 = p[1];
b2 = p[0];

  //右上
p = pIn - stride + 3;
r3 = p[2];
g3 = p[1];
b3 = p[0];

  //左侧
p = pIn - 3;
r4 = p[2];
g4 = p[1];
b4 = p[0];
  //右侧
p = pIn + 3;
r5 = p[2];
g5 = p[1];
b5 = p[0];

  //右下
p = pIn + stride - 3;
r6 = p[2];
g6 = p[1];
b6 = p[0];

  //正下
p = pIn + stride;
r7 = p[2];
g7 = p[1];
b7 = p[0];
  //右下
p = pIn + stride + 3;
r8 = p[2];
g8 = p[1];
b8 = p[0];

//自己
p = pIn;
r9 = p[2];
g9 = p[1];
b9 = p[0];

vR = (float)(r1 + r2 + r3 + r4 + r5 + r6 + r7 + r8 + r9);
vG = (float)(g1 + g2 + g3 + g4 + g5 + g6 + g7 + g8 + g9);
vB = (float)(b1 + b2 + b3 + b4 + b5 + b6 + b7 + b8 + b9);

vR /= 9;
vG /= 9;
vB /= 9;

pOut[0] = (byte)vB;
pOut[1] = (byte)vG;
pOut[2] = (byte)vR;
}
pIn += 3;
pOut += 3;
}// end of x

pIn += srcData.Stride - w * 3;
pOut += srcData.Stride - w * 3;
} // end of y
}

b.UnlockBits(srcData);
bmpRtn.UnlockBits(dstData);

  return bmpRtn;
}
  catch
  ...{
return null;
}

} // end of KiBlur

当然这是最简单的一种，不支持柔化半径选择。实际中通常需要自定义模糊的程度，这个下回再谈。