YUV与RGB格式转换

蔚落 2022-06-03 08:51 1141阅读 0赞

# YUV与RGB格式转换 #

转载  2015年11月26日 12:24:43

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原文：http://www.cnblogs.com/dwdxdy/p/3713990.html

YUV格式具有亮度信息和色彩信息分离的特点，但大多数图像处理操作都是基于RGB格式。

因此当要对图像进行后期处理显示时，需要把YUV格式转换成RGB格式。

RGB与YUV的变换公式如下：

![071551033708029.jpg][]

YUV(256 级别) 可以从8位 RGB 直接计算：

**Y = 0.299 R + 0.587 G + 0.114 B**

**U = - 0.1687 R - 0.3313 G + 0.5 B + 128**

**V = 0.5 R - 0.4187 G - 0.0813 B + 128**

反过来，RGB 也可以直接从YUV (256级别) 计算:

**R = Y + 1.402 (Cr-128)**

**G = Y - 0.34414 (Cb-128) - 0.71414 (Cr-128)**

**B = Y + 1.772 (Cb-128)**

YUV格式比较多，下面以YV12格式为例，说明YV12格式转化成RGB24格式的方法。

其基本思路是按照RGB与YUV的变换公式进行逐像素的计算，但具体实现过程中，优化方法和技巧影响最终的转换效率。

说明：为了方便查看转换后的结果，在实现过程中，是BGR24格式代替RGB24格式，其转换过程是不变。

**1. 基本实现**

按照YUV与RGB的变换公式，逐像素访问Y、U、V分量的值，并转换成RGB。

![复制代码][copycode.gif]

bool YV12ToBGR24_Native(unsigned char* pYUV,unsigned char* pBGR24,int width,int height)
    {
        if (width < 1 || height < 1 || pYUV == NULL || pBGR24 == NULL)
            return false;
        const long len = width * height;
        unsigned char* yData = pYUV;
        unsigned char* vData = &yData[len];
        unsigned char* uData = &vData[len >> 2];
    
        int bgr[3];
        int yIdx,uIdx,vIdx,idx;
        for (int i = 0;i < height;i++){
            for (int j = 0;j < width;j++){
                yIdx = i * width + j;
                vIdx = (i/2) * (width/2) + (j/2);
                uIdx = vIdx;
    
                bgr[0] = (int)(yData[yIdx] + 1.732446 * (uData[vIdx] - 128));                                    // b分量
                bgr[1] = (int)(yData[yIdx] - 0.698001 * (uData[uIdx] - 128) - 0.703125 * (vData[vIdx] - 128));    // g分量
                bgr[2] = (int)(yData[yIdx] + 1.370705 * (vData[uIdx] - 128));                                    // r分量
    
                for (int k = 0;k < 3;k++){
                    idx = (i * width + j) * 3 + k;
                    if(bgr[k] >= 0 && bgr[k] <= 255)
                        pBGR24[idx] = bgr[k];
                    else
                        pBGR24[idx] = (bgr[k] < 0)?0:255;
                }
            }
        }
        return true;
    }

![复制代码][copycode.gif]

2. 基于查表法的实现

逐一访问像素，进行浮点运算，比较耗时，因而**利用空间换时间思路，以查找表来替代转换过程中的一些计算**。

优化过程可参考：[http://blog.csdn.net/colorant/article/details/1913162/][http_blog.csdn.net_colorant_article_details_1913162]

![复制代码][copycode.gif]

static int Table_fv1[256] = { -180, -179, -177, -176, -174, -173, -172, -170, -169, -167, -166, -165, -163, -162, -160, -159, -158, -156, -155, -153, -152, -151, -149, -148, -146, -145, -144, -142, -141, -139, -138, -137,  -135, -134, -132, -131, -130, -128, -127, -125, -124, -123, -121, -120, -118, -117, -115, -114, -113, -111, -110, -108, -107, -106, -104, -103, -101, -100, -99, -97, -96, -94, -93, -92, -90,  -89, -87, -86, -85, -83, -82, -80, -79, -78, -76, -75, -73, -72, -71, -69, -68, -66, -65, -64,-62, -61, -59, -58, -57, -55, -54, -52, -51, -50, -48, -47, -45, -44, -43, -41, -40, -38, -37,  -36, -34, -33, -31, -30, -29, -27, -26, -24, -23, -22, -20, -19, -17, -16, -15, -13, -12, -10, -9, -8, -6, -5, -3, -2, 0, 1, 2, 4, 5, 7, 8, 9, 11, 12, 14, 15, 16, 18, 19, 21, 22, 23, 25, 26, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 46, 47, 49, 50, 51, 53, 54, 56, 57, 58, 60, 61, 63, 64, 65, 67, 68, 70, 71, 72, 74, 75, 77, 78, 79, 81, 82, 84, 85, 86, 88, 89, 91, 92, 93, 95, 96, 98, 99, 100, 102, 103, 105, 106, 107, 109, 110, 112, 113, 114, 116, 117, 119, 120, 122, 123, 124, 126, 127, 129, 130, 131, 133, 134, 136, 137, 138, 140, 141, 143, 144, 145, 147, 148,  150, 151, 152, 154, 155, 157, 158, 159, 161, 162, 164, 165, 166, 168, 169, 171, 172, 173, 175, 176, 178 };
    static int Table_fv2[256] = { -92, -91, -91, -90, -89, -88, -88, -87, -86, -86, -85, -84, -83, -83, -82, -81, -81, -80, -79, -78, -78, -77, -76, -76, -75, -74, -73, -73, -72, -71, -71, -70, -69, -68, -68, -67, -66, -66, -65, -64, -63, -63, -62, -61, -61, -60, -59, -58, -58, -57, -56, -56, -55, -54, -53, -53, -52, -51, -51, -50, -49, -48, -48, -47, -46, -46, -45, -44, -43, -43, -42, -41, -41, -40, -39, -38, -38, -37, -36, -36, -35, -34, -33, -33, -32, -31, -31, -30, -29, -28, -28, -27, -26, -26, -25, -24, -23, -23, -22, -21, -21, -20, -19, -18, -18, -17, -16, -16, -15, -14, -13, -13, -12, -11, -11, -10, -9, -8, -8, -7, -6, -6, -5, -4, -3, -3, -2, -1, 0, 0, 1, 2, 2, 3, 4, 5, 5, 6, 7, 7, 8, 9, 10, 10, 11, 12, 12, 13, 14, 15, 15, 16, 17, 17, 18, 19, 20, 20, 21, 22, 22, 23, 24, 25, 25, 26, 27, 27, 28, 29, 30, 30, 31, 32, 32, 33, 34, 35, 35, 36, 37, 37, 38, 39, 40, 40, 41, 42, 42, 43, 44, 45, 45, 46, 47, 47, 48, 49, 50, 50, 51, 52, 52, 53, 54, 55, 55, 56, 57, 57, 58, 59, 60, 60, 61, 62, 62, 63, 64, 65, 65, 66, 67, 67, 68, 69, 70, 70, 71, 72, 72, 73, 74, 75, 75, 76, 77, 77, 78, 79, 80, 80, 81, 82, 82, 83, 84, 85, 85, 86, 87, 87, 88, 89, 90, 90 };
    static int Table_fu1[256] = { -44, -44, -44, -43, -43, -43, -42, -42, -42, -41, -41, -41, -40, -40, -40, -39, -39, -39, -38, -38, -38, -37, -37, -37, -36, -36, -36, -35, -35, -35, -34, -34, -33, -33, -33, -32, -32, -32, -31, -31, -31, -30, -30, -30, -29, -29, -29, -28, -28, -28, -27, -27, -27, -26, -26, -26, -25, -25, -25, -24, -24, -24, -23, -23, -22, -22, -22, -21, -21, -21, -20, -20, -20, -19, -19, -19, -18, -18, -18, -17, -17, -17, -16, -16, -16, -15, -15, -15, -14, -14, -14, -13, -13, -13, -12, -12, -11, -11, -11, -10, -10, -10, -9, -9, -9, -8, -8, -8, -7, -7, -7, -6, -6, -6, -5, -5, -5, -4, -4, -4, -3, -3, -3, -2, -2, -2, -1, -1, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9, 9, 9, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14, 14, 15, 15, 15, 16, 16, 16, 17, 17, 17, 18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 21, 22, 22, 22, 23, 23, 23, 24, 24, 24, 25, 25, 25, 26, 26, 26, 27, 27, 27, 28, 28, 28, 29, 29, 29, 30, 30, 30, 31, 31, 31, 32, 32, 33, 33, 33, 34, 34, 34, 35, 35, 35, 36, 36, 36, 37, 37, 37, 38, 38, 38, 39, 39, 39, 40, 40, 40, 41, 41, 41, 42, 42, 42, 43, 43 };
    static int Table_fu2[256] = { -227, -226, -224, -222, -220, -219, -217, -215, -213, -212, -210, -208, -206, -204, -203, -201, -199, -197, -196, -194, -192, -190, -188, -187, -185, -183, -181, -180, -178, -176, -174, -173, -171, -169, -167, -165, -164, -162, -160, -158, -157, -155, -153, -151, -149, -148, -146, -144, -142, -141, -139, -137, -135, -134, -132, -130, -128, -126, -125, -123, -121, -119, -118, -116, -114, -112, -110, -109, -107, -105, -103, -102, -100, -98, -96, -94, -93, -91, -89, -87, -86, -84, -82, -80, -79, -77, -75, -73, -71, -70, -68, -66, -64, -63, -61, -59, -57, -55, -54, -52, -50, -48, -47, -45, -43, -41, -40, -38, -36, -34, -32, -31, -29, -27, -25, -24, -22, -20, -18, -16, -15, -13, -11, -9, -8, -6, -4, -2, 0, 1, 3, 5, 7, 8, 10, 12, 14, 15, 17, 19, 21, 23, 24, 26, 28, 30, 31, 33, 35, 37, 39, 40, 42, 44, 46, 47, 49, 51, 53, 54, 56, 58, 60, 62, 63, 65, 67, 69, 70, 72, 74, 76, 78, 79, 81, 83, 85, 86, 88, 90, 92, 93, 95, 97, 99, 101, 102, 104, 106, 108, 109, 111, 113, 115, 117, 118, 120, 122, 124, 125, 127, 129, 131, 133, 134, 136, 138, 140, 141, 143, 145, 147, 148, 150, 152, 154, 156, 157, 159, 161, 163, 164, 166, 168, 170, 172, 173, 175, 177, 179, 180, 182, 184, 186, 187, 189, 191, 193, 195, 196, 198, 200, 202, 203, 205, 207, 209, 211, 212, 214, 216, 218, 219, 221, 223, 225 };
    
    bool YV12ToBGR24_Table(unsigned char* pYUV,unsigned char* pBGR24,int width,int height)
    {
        if (width < 1 || height < 1 || pYUV == NULL || pBGR24 == NULL)
            return false;
        const long len = width * height;
        unsigned char* yData = pYUV;
        unsigned char* vData = &yData[len];
        unsigned char* uData = &vData[len >> 2];
    
        int bgr[3];
        int yIdx,uIdx,vIdx,idx;
        int rdif,invgdif,bdif;
        for (int i = 0;i < height;i++){
            for (int j = 0;j < width;j++){
                yIdx = i * width + j;
                vIdx = (i/2) * (width/2) + (j/2);
                uIdx = vIdx;
    
                rdif = Table_fv1[vData[vIdx]];
                invgdif = Table_fu1[uData[uIdx]] + Table_fv2[vData[vIdx]];
                bdif = Table_fu2[uData[uIdx]];
    
                bgr[0] = yData[yIdx] + bdif;    
                bgr[1] = yData[yIdx] - invgdif;
                bgr[2] = yData[yIdx] + rdif;
    
                for (int k = 0;k < 3;k++){
                    idx = (i * width + j) * 3 + k;
                    if(bgr[k] >= 0 && bgr[k] <= 255)
                        pBGR24[idx] = bgr[k];
                    else
                        pBGR24[idx] = (bgr[k] < 0)?0:255;
                }
            }
        }
        return true;
    }

![复制代码][copycode.gif]

**3. 基于OpenCV的实现**

利用OpenCV提供的转换函数实现YUV到RGB的转换，实现简单方便。实现过程，只需要合理**构造包含YUV数据的Mat**，具体实现方法如下。

![复制代码][copycode.gif]

bool YV12ToBGR24_OpenCV(unsigned char* pYUV,unsigned char* pBGR24,int width,int height)
    {
        if (width < 1 || height < 1 || pYUV == NULL || pBGR24 == NULL)
            return false;
        Mat dst(height,width,CV_8UC3,pBGR24);
        Mat src(height + height/2,width,CV_8UC1,pYUV);
        cvtColor(src,dst,CV_YUV2BGR_YV12);
        return true;
    }

![复制代码][copycode.gif]

4. 基于FFmpeg的实现

利用FFmpeg中swscale实现YUV到RGB的转换，实现过程中，**需要构造AVPicture结构**，具体实现方法如下。

![复制代码][copycode.gif]

bool YV12ToBGR24_FFmpeg(unsigned char* pYUV,unsigned char* pBGR24,int width,int height)
    {
        if (width < 1 || height < 1 || pYUV == NULL || pBGR24 == NULL)
            return false;
        //int srcNumBytes,dstNumBytes;
        //uint8_t *pSrc,*pDst;
        AVPicture pFrameYUV,pFrameBGR;
    
        //pFrameYUV = avpicture_alloc();
        //srcNumBytes = avpicture_get_size(PIX_FMT_YUV420P,width,height);
        //pSrc = (uint8_t *)malloc(sizeof(uint8_t) * srcNumBytes);
        avpicture_fill(&pFrameYUV,pYUV,PIX_FMT_YUV420P,width,height);
    
        //U,V互换
        uint8_t * ptmp=pFrameYUV.data[1];
        pFrameYUV.data[1]=pFrameYUV.data[2];
        pFrameYUV.data [2]=ptmp;
    
        //pFrameBGR = avcodec_alloc_frame();
        //dstNumBytes = avpicture_get_size(PIX_FMT_BGR24,width,height);
        //pDst = (uint8_t *)malloc(sizeof(uint8_t) * dstNumBytes);
        avpicture_fill(&pFrameBGR,pBGR24,PIX_FMT_BGR24,width,height);
    
        struct SwsContext* imgCtx = NULL;
        imgCtx = sws_getContext(width,height,PIX_FMT_YUV420P,width,height,PIX_FMT_BGR24,SWS_BILINEAR,0,0,0);
    
        if (imgCtx != NULL){
            sws_scale(imgCtx,pFrameYUV.data,pFrameYUV.linesize,0,height,pFrameBGR.data,pFrameBGR.linesize);
            if(imgCtx){
                sws_freeContext(imgCtx);
                imgCtx = NULL;
            }
            return true;
        }
        else{
            sws_freeContext(imgCtx);
            imgCtx = NULL;
            return false;
        }
    }

![复制代码][copycode.gif]

5. 基于Pinknoise的实现

参考资料：[http://wss.co.uk/pinknoise/yuv2rgb/][http_blog.csdn.net_colorant_article_details_1913162]

下载上述网站提供的yuv2rgb代码，利用yuv420\_2\_rgb888函数即可实现YUV到RGB的转换。

![复制代码][copycode.gif]

bool YV12ToBGR24_Pinknoise(unsigned char* pYUV,unsigned char* pBGR24,int width,int height)
    {
        if (width < 1 || height < 1 || pYUV == NULL || pBGR24 == NULL)
            return false;
        unsigned char *yData = pYUV;
        unsigned char *vData = &pYUV[width * height];
        unsigned char *uData = &vData[width * height >> 2];
        yuv420_2_rgb888(pBGR24,yData,uData,vData,width,height,width,width>>1,width*3,yuv2rgb565_table,0);
        return true;
    }

![复制代码][copycode.gif]

6. 转换效率分析

测试序列：1920\*1080

测试环境：OpenCV2.4.8, FFmpeg2.0, YUV2RGB v0.03

<table> 
 <tbody> 
  <tr> 
   <td> <p><strong>Method</strong></p> </td> 
   <td> <p><strong>Time(ms)</strong></p> </td> 
  </tr> 
  <tr> 
   <td> <p>YV12ToBGR24_Native</p> </td> 
   <td> <p>83.7263</p> </td> 
  </tr> 
  <tr> 
   <td> <p>YV12ToBGR24_Table</p> </td> 
   <td> <p>54.2376</p> </td> 
  </tr> 
  <tr> 
   <td> <p>YV12ToBGR24_OpenCV</p> </td> 
   <td> <p>26.0529</p> </td> 
  </tr> 
  <tr> 
   <td> <p>YV12ToBGR24_FFmpeg</p> </td> 
   <td> <p>3.41499</p> </td> 
  </tr> 
  <tr> 
   <td> <p>YV12ToBGR24_Pinknoise</p> </td> 
   <td> <p>14.1215</p> </td> 
  </tr> 
 </tbody> 
</table>

由上述表格可以看出，**基于FFmpeg的格式转换效率最高**，利用查找表法可以提高转换效率，但基于查找表法的转换效率有待进一步优化提升。

后续应关注于FFmpeg其格式转换的算法实现，抽取其实现代码，使格式转换不依赖于FFmpeg库。

**参考资料：**

[https://code.google.com/p/libyuv/][https_code.google.com_p_libyuv]

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RGB TO YUV转换原理及代码示例\[转\]

RGB TO YUV转换原理及代码示例  
                                        
RGB TO …

*    
    
 *  [![FrankieWang008][]][FrankieWang008 1]
 *  [FrankieWang008][FrankieWang008 1]
 *  2011年10月09日 10:02
 *  11009

## [YUV格式学习：YUV444转换RGB24][YUV_YUV444_RGB24] ##

YUV格式有很多种，按其采样方式，有444、422、420，还有411(但不常见)。针对数据的排序，又有平面格式和打包格式，还有“踢啊”特有的半平面格式——这些排列组合，就显得YUV格式多种多样，初看…

*    
    
 *  [![subfate][]][subfate 1]
 *  [subfate][subfate 1]
 *  2015年08月05日 22:01
 *  2173

## [YUV4:2:2转换成RGB的代码][YUV4_2_2_RGB] ##

int convert\_yuv\_to\_rgb\_pixel(int y, int u, int v)  
\{  
uint pixel32 = 0;  
uchar *pixel = (uchar* )&pix…

*    
    
 *  [![chyxwzn][]][chyxwzn 1]
 *  [chyxwzn][chyxwzn 1]
 *  2012年12月27日 16:15
 *  4023

## [常用YUV转RGB代码][YUV_RGB 1] ##

常用YUV转RGB java代码

public class YuvToRGB \{  
private static int R = 0;  
private static int G = 1;  
…

*    
    
 *  [![huiguixian][]][huiguixian 1]
 *  [huiguixian][huiguixian 1]
 *  2013年12月15日 15:10
 *  29550

## [neon指令进行yuv420到rgb24转换效率][neon_yuv420_rgb24] ##

从网上找到了一个用neon指令优化yuv420转换成rgb24的代码， 在cortex-A8架构、主频1G的cpu下进行对一帧qcif(176x144)数据测试，另外用网上很流行的用C写的算法做比较，…

*    
    
 *  [![alien75][]][alien75 1]
 *  [alien75][alien75 1]
 *  2012年03月21日 11:21
 *  7632

## [从零开始学习音视频编程技术（十五） YUV420P转RGB32][YUV420P_RGB32] ##

原文地址： [http://blog.yundiantech.com/?log=blog&id=19][http_blog.yundiantech.com_log_blog_id_19]

上一节讲解了YUV420P格式的内容。

我说过，我们不是为了做研究。 平白无故讲了YUV420P的…

*    
    
 *  [![qq214517703][]][qq214517703 1]
 *  [qq214517703][qq214517703 1]
 *  2016年09月30日 10:20
 *  1991

## [YUV422与RGB互相转换][YUV422_RGB] ##

转自：  [http://m.blog.csdn.net/blog/guo8113/25333837\#][http_m.blog.csdn.net_blog_guo8113_25333837]

前一段时间在DM8168中进行颜色空间的转换，在网上找了些程序，自己也根据网上的改了下，由于…

*    
    
 *  [![qq\_29350001][qq_29350001]][qq_29350001_qq_29350001]
 *  [qq\_29350001][qq_29350001_qq_29350001]
 *  2016年07月26日 09:21
 *  2939

## [RGB与YUV之间的转换][RGB_YUV 1] ##

一．RGB模型与YUV模型

1.RGB模型  
我们知道物理三基色分别是红(Red)、绿(Green)、蓝(Blue)。现代的显示器技术就是通过组合不同强度的红绿蓝三原色，来达成几乎任何一种可见光的颜色…

*    
    
 *  [![wo6694458][]][wo6694458 1]
 *  [wo6694458][wo6694458 1]
 *  2017年03月12日 21:01
 *  811

## [BMP 转 YUV （BMP2YUV）+ YUV 转RGB][BMP _ YUV _BMP2YUV_ YUV _RGB] ##

[http://blog.csdn.net/leixiaohua1020/article/details/13506099][http_blog.csdn.net_leixiaohua1020_article_details_13506099]

可以下载工程直接查看，可以修改部分效率；…

*    
    
 *  [![chinabinlang][]][chinabinlang 1]
 *  [chinabinlang][chinabinlang 1]
 *  2014年11月26日 11:04
 *  1998

## [rgb to yuv 互相转化][rgb to yuv] ##

说明：下面的代码用C\\C++执行都可以，用C的时候请把\#include 删除。

RGB to YUV420 原代码：  RGB2YUV.CPP文件

\[cpp\]  
view plain…

*    
    
 *  [![yangzm][]][yangzm 1]
 *  [yangzm][yangzm 1]
 *  2014年09月18日 10:27
 *  1338

[![zip.svg][]][zip.svg 1]

## [Delphi7高级应用开发随书源码][zip.svg 1] ##

*    
    
 *  2003年04月30日 00:00
 *  676KB
 *  [下载][zip.svg 1]

## [FFMPEG 实现 YUV，RGB各种图像原始数据之间的转换（swscale）][FFMPEG _ YUV_RGB_swscale] ##

FFMPEG中的swscale提供了视频原始数据（YUV420，YUV422，YUV444，RGB24…）之间的转换，分辨率变换等操作，使用起来十分方便，在这里记录一下它的用法。

swscale…

*    
    
 *  [![leixiaohua1020][]][leixiaohua1020 1]
 *  [leixiaohua1020][leixiaohua1020 1]
 *  2013年11月06日 15:37
 *  78497

## [YUV格式详解及 YUV与RGB转换][YUV_ YUV_RGB] ##

转自： [http://msdn.microsoft.com/zh-cn/library/ms867704.aspx][http_msdn.microsoft.com_zh-cn_library_ms867704.aspx]

Microsoft Digital Media Division

适用于：

Mi…

*    
    
 *  [![fulinwsuafcie][]][fulinwsuafcie 1]
 *  [fulinwsuafcie][fulinwsuafcie 1]
 *  2013年10月24日 15:36
 *  8422

## [常用YUV转RGB代码][YUV_RGB 2] ##

常用YUV转RGB \[java\] view plaincopyprint?public class YuvToRGB \{      private static int R = 0;      pri…

*    
    
 *  [![mao0514][]][mao0514 1]
 *  [mao0514][mao0514 1]
 *  2016年01月19日 19:14
 *  1736

[  
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][_3_huang546213693.jpg_]

### [Luke-wong][_3_huang546213693.jpg_] ###

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[yuv_rgb]: http://so.csdn.net/so/search/s.do?q=yuv转rgb&t=blog
[Link 1]: http://write.blog.csdn.net/postedit/50054243
[071551033708029.jpg]: /images/20220603/c5bd966af0264283a9671a541a562b11.png
[copycode.gif]: /images/20220603/3e83f3f66b3b4f8ab8791510f676df23.png
[http_blog.csdn.net_colorant_article_details_1913162]: http://wss.co.uk/pinknoise/yuv2rgb/
[https_code.google.com_p_libyuv]: https://code.google.com/p/libyuv/
[Link 2]: https://passport.csdn.net/account/login?from=http%3A%2F%2Fblog.csdn.net%2Fhuang546213693%2Farticle%2Fdetails%2F50054243
[Link 3]: http://passport.csdn.net/account/register?from=http%3A%2F%2Fblog.csdn.net%2Fhuang546213693%2Farticle%2Fdetails%2F50054243
[u011258240]: /images/20220603/db464d8789d044679a08e37dfa69596b.png
[u011258240 1]: http://blog.csdn.net/u011258240
[YUV_RGB]: http://blog.csdn.net/Trent1985/article/details/52053397
[Trent1985]: /images/20220603/89e695b6f7e043598fa2752ab5f1d45a.png
[Trent1985 1]: http://blog.csdn.net/Trent1985
[YUV _ RGB _C_]: http://blog.csdn.net/liyuanbhu/article/details/68951683
[liyuanbhu]: /images/20220603/50cce5a44a4f47cd8815187621b28d3b.png
[liyuanbhu 1]: http://blog.csdn.net/liyuanbhu
[RGB_YUV]: http://blog.csdn.net/chen825919148/article/details/7921475
[chen825919148]: /images/20220603/b9e697d7f0d04410b736de04c4cb1b68.png
[chen825919148 1]: http://blog.csdn.net/chen825919148
[yuv_rgb 1]: http://blog.csdn.net/u011258240/article/details/72772665
[FFmpeg_libswscale_YUV_RGB]: http://blog.csdn.net/leixiaohua1020/article/details/42134965
[leixiaohua1020]: /images/20220603/a28641999c41408fbb094492a78cdd65.png
[leixiaohua1020 1]: http://blog.csdn.net/leixiaohua1020
[YUV _ RGB]: http://blog.csdn.net/FrankieWang008/article/details/6854616
[FrankieWang008]: /images/20220603/9f58158f78be420586815f472b558fd2.png
[FrankieWang008 1]: http://blog.csdn.net/FrankieWang008
[YUV_YUV444_RGB24]: http://blog.csdn.net/subfate/article/details/47285437
[subfate]: /images/20220603/e67055e1feed4a749d50d648be345c1a.png
[subfate 1]: http://blog.csdn.net/subfate
[YUV4_2_2_RGB]: http://blog.csdn.net/chyxwzn/article/details/8444087
[chyxwzn]: /images/20220603/dfa30b72bc0b4fa6881615b399842fa1.png
[chyxwzn 1]: http://blog.csdn.net/chyxwzn
[YUV_RGB 1]: http://blog.csdn.net/huiguixian/article/details/17334195
[huiguixian]: /images/20220603/5e1f8bd167d440d59ca1def9e4d43f0c.png
[huiguixian 1]: http://blog.csdn.net/huiguixian
[neon_yuv420_rgb24]: http://blog.csdn.net/alien75/article/details/7377179
[alien75]: /images/20220603/f0c707f843ac46cea03fe761266feedc.png
[alien75 1]: http://blog.csdn.net/alien75
[YUV420P_RGB32]: http://blog.csdn.net/qq214517703/article/details/52709442
[http_blog.yundiantech.com_log_blog_id_19]: http://blog.yundiantech.com/?log=blog&id=19
[qq214517703]: /images/20220603/78b882f479ae4a3590c9b5fb2338e71e.png
[qq214517703 1]: http://blog.csdn.net/qq214517703
[YUV422_RGB]: /images/20220603/27dbfbb6599646e799ba68d546fb73de.png/article/details/52032540
[http_m.blog.csdn.net_blog_guo8113_25333837]: http://m.blog.csdn.net/blog/guo8113/25333837#
[qq_29350001]: http://avatar.csdn.net/A/B/7/3_qq_29350001.jpg
[qq_29350001_qq_29350001]: /images/20220603/27dbfbb6599646e799ba68d546fb73de.png
[RGB_YUV 1]: http://blog.csdn.net/wo6694458/article/details/61640647
[wo6694458]: /images/20220603/e2b435e0f29d469ca94e71a2d5bcf783.png
[wo6694458 1]: http://blog.csdn.net/wo6694458
[BMP _ YUV _BMP2YUV_ YUV _RGB]: http://blog.csdn.net/chinabinlang/article/details/41513003
[http_blog.csdn.net_leixiaohua1020_article_details_13506099]: http://blog.csdn.net/leixiaohua1020/article/details/13506099
[chinabinlang]: /images/20220603/729fad3aa38f45639ec093b0ebf9e7ac.png
[chinabinlang 1]: http://blog.csdn.net/chinabinlang
[rgb to yuv]: http://blog.csdn.net/yangzm/article/details/39368667
[yangzm]: /images/20220603/2342859ef5f04ed5a54d6039293c20bc.png
[yangzm 1]: http://blog.csdn.net/yangzm
[zip.svg]: /images/20220603/93fb36ef454d41a49d6665d7f54e6284.png
[zip.svg 1]: http://download.csdn.net/download/chenxh/3
[FFMPEG _ YUV_RGB_swscale]: http://blog.csdn.net/leixiaohua1020/article/details/14215391
[YUV_ YUV_RGB]: http://blog.csdn.net/fulinwsuafcie/article/details/12999573
[http_msdn.microsoft.com_zh-cn_library_ms867704.aspx]: http://msdn.microsoft.com/zh-cn/library/ms867704.aspx
[fulinwsuafcie]: /images/20220603/b8558d4862434385b345f6ef35d0622c.png
[fulinwsuafcie 1]: http://blog.csdn.net/fulinwsuafcie
[YUV_RGB 2]: http://blog.csdn.net/mao0514/article/details/50544441
[mao0514]: /images/20220603/f28c4d14c178485cafe996f41959a30f.png
[mao0514 1]: http://blog.csdn.net/mao0514
[3_huang546213693.jpg]: /images/20220603/109f470547024fef82e80f613f47551a.png
[_3_huang546213693.jpg_]: http://blog.csdn.net/huang546213693
[Link 4]: https://gitee.com?utm_source=csdn_blog
[YUV420P]: http://blog.csdn.net/huang546213693/article/details/53008536
[GCC_ _attribute]: http://blog.csdn.net/huang546213693/article/details/53008477
[unsigned int]: http://blog.csdn.net/huang546213693/article/details/53008416
[Android]: http://blog.csdn.net/huang546213693/article/details/53005176
[Java_byte]: http://blog.csdn.net/huang546213693/article/details/52620114
[YUV_RGB_ _YUV_RGB]: http://blog.csdn.net/u011258240/article/details/54601603
[Image 1]: 
[YUV_RGB 3]: http://blog.csdn.net/huang546213693/article/details/50054243
[Terminator]: http://blog.csdn.net/huang546213693/article/details/43453733
[C_8_bmp]: http://blog.csdn.net/huang546213693/article/details/41553391
[IP_MULTICAST_TTL_IP_ADD_MEMBERSHIP_IP_MULTICAST_IF_IP_DROP_MEMBERSHIP]: http://blog.csdn.net/huang546213693/article/details/51035966