Video camera formats: yuv411, yuv422

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本文介绍了YUV444、YUV422及YUV411三种常见视频格式的数据布局，并提供了将这些格式转换为RGB格式的C语言示例代码。文章指出YUV格式因其对人眼敏感度特性的利用，在图像处理和分析中具有优势。

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转自: http://paulbourke.net/dataformats/yuv/

http://www.cnblogs.com/qinjunni/archive/2012/02/23/2364446.html

There are a number of video formats used by digital video cameras say, perhaps the most common at the time of writing are called yuv444, yuv422, and yuv411. The following briefly describes the layout of the data (luminance and two chrominance channels) and describes how to convert these to the more familiar RGB, noting of course that it may be more appropriate to do some image processing and analysis in YUV (also known as YC_bC_r space. The basic idea behind these formats is that the human visual system is less sensitive to high frequency colour information (compared to luminance) so the colour information can be encoded at a lower spatial resolution.

422

To reconstruct pixels in pairs, 4 bytes of data are required. The bytes are arranged as u, y1, v, y2. The total number of bytes in the image stream is 2 x width x height.

void Convert422(unsigned char *yuv,BITMAP4 *rgb1,BITMAP4 *rgb2)
{
   int y1,y2,u,v;

   // Extract yuv components
   u  = yuv[0];
   y1 = yuv[1];
   v  = yuv[2];
   y2 = yuv[3];

   // yuv to rgb
   *rgb1 = YUV_to_Bitmap(y1,u,v);
   *rgb2 = YUV_to_Bitmap(y2,u,v);
}

411

To reconstract pixels in sets of 4, 6 bytes of data are required. The bytes are arranged as u, y1, y2, v, y3, y4. The total number of bytes in the image stream is 6 x width x height / 4.

void Convert411(unsigned char *yuv,BITMAP4 *rgb1,BITMAP4 *rgb2,BITMAP4 *rgb3,BITMAP4 *rgb4)
{  
   int y1,y2,y3,y4,u,v;
   
   // Extract yuv components
   u  = yuv[0];
   y1 = yuv[1];
   y2 = yuv[2];
   v  = yuv[3];
   y3 = yuv[4];
   y4 = yuv[5];

   // yuv to rgb
   *rgb1 = YUV_to_Bitmap(y1,u,v);
   *rgb2 = YUV_to_Bitmap(y2,u,v);
   *rgb3 = YUV_to_Bitmap(y3,u,v);
   *rgb4 = YUV_to_Bitmap(y4,u,v);
}

Conversion to RGB

The plain C source provided here is written for clarify not efficiency, in general these conversions would be performed by the way of lookup tables.

BITMAP4 YUV_to_Bitmap(int y,int u,int v)
{
   int r,g,b;
   BITMAP4 bm = {0,0,0,0};
   
   // u and v are +-0.5
   u -= 128;
   v -= 128;

   // Conversion
   r = y + 1.370705 * v;
   g = y - 0.698001 * v - 0.337633 * u;
   b = y + 1.732446 * u;

/*
   r = y + 1.402 * v;
   g = y - 0.344 * u - 0.714 * v;
   b = y + 1.772 * u;
*/
/*
   y -= 16;
   r = 1.164 * y + 1.596 * v;
   g = 1.164 * y - 0.392 * u - 0.813 * v;
   b = 1.164 * y + 2.017 * u;
*/

   // Clamp to 0..1
   if (r < 0) r = 0;
   if (g < 0) g = 0;
   if (b < 0) b = 0;
   if (r > 255) r = 255;
   if (g > 255) g = 255;
   if (b > 255) b = 255;

   bm.r = r;
   bm.g = g;
   bm.b = b;
   bm.a = 0;

   return(bm);
}