linux 平台camera失去YUV数据转RGB888及加BMP头文件

linux 平台camera失去YUV数据转RGB888及加BMP头文件

linux 平台camera得到YUV数据转RGB888及加BMP头文件

需要在Android平台上通过UVC得到纯YUV数据,需要验证数据的正确性。因此需要将每一帧的YUV数据转为RGB888,但纯的RGB888数据也无法在windows或者ubuntu上打开,需要加BMP头。此文章介绍其实现方法。

第一步:YUY2转为RGB888.

参考文章:

http://blog.csdn.net/jtujtujtu/article/details/3874621

//////////////////////////////////////////////////////////////////////////
// YUV2RGB
// pYUV point to the YUV data
// pRGB point to the RGB data
// width width of the picture
// height height of the picture
// alphaYUV is there an alpha channel in YUV
// alphaRGB is there an alpha channel in RGB
//////////////////////////////////////////////////////////////////////////
int YUV2RGB(void* pYUV, void* pRGB, int width, int height, bool alphaYUV, bool alphaRGB)
{
if (NULL == pYUV)
{
return -1;
}
unsigned char* pYUVData = (unsigned char *)pYUV;
unsigned char* pRGBData = (unsigned char *)pRGB;
if (NULL == pRGBData)
{
if (alphaRGB)
{
pRGBData = new unsigned char[width*height*4];
}
else
pRGBData = new unsigned char[width*height*3];
}
int Y1, U1, V1, Y2, alpha1, alpha2, R1, G1, B1, R2, G2, B2;
int C1, D1, E1, C2;
if (alphaRGB)
{
if (alphaYUV)
{
for (int i=0; i<height; ++i)
{
for (int j=0; j<width/2; ++j)
{
Y1 = *(pYUVData+i*width*3+j*6);
U1 = *(pYUVData+i*width*3+j*6+1);
Y2 = *(pYUVData+i*width*3+j*6+2);
V1 = *(pYUVData+i*width*3+j*6+3);
alpha1 = *(pYUVData+i*width*3+j*6+4);
alpha2 = *(pYUVData+i*width*3+j*6+5);
C1 = Y1-16;
C2 = Y2-16;
D1 = U1-128;
E1 = V1-128;
R1 = ((298*C1 + 409*E1 + 128)>>8>255 ? 255 : (298*C1 + 409*E1 + 128)>>8);
G1 = ((298*C1 - 100*D1 - 208*E1 + 128)>>8>255 ? 255 : (298*C1 - 100*D1 - 208*E1 + 128)>>8);
B1 = ((298*C1+516*D1 +128)>>8>255 ? 255 : (298*C1+516*D1 +128)>>8);
R2 = ((298*C2 + 409*E1 + 128)>>8>255 ? 255 : (298*C2 + 409*E1 + 128)>>8);
G2 = ((298*C2 - 100*D1 - 208*E1 + 128)>>8>255 ? 255 : (298*C2 - 100*D1 - 208*E1 + 128)>>8);
B2 = ((298*C2 + 516*D1 +128)>>8>255 ? 255 : (298*C2 + 516*D1 +128)>>8);
*(pRGBData+(height-i-1)*width*4+j*8+2) = R1<0 ? 0 : R1;
*(pRGBData+(height-i-1)*width*4+j*8+1) = G1<0 ? 0 : G1;
*(pRGBData+(height-i-1)*width*4+j*8) = B1<0 ? 0 : B1;
*(pRGBData+(height-i-1)*width*4+j*8+3) = alpha1;
*(pRGBData+(height-i-1)*width*4+j*8+6) = R2<0 ? 0 : R2;
*(pRGBData+(height-i-1)*width*4+j*8+5) = G2<0 ? 0 : G2;
*(pRGBData+(height-i-1)*width*4+j*8+4) = B2<0 ? 0 : B2;
*(pRGBData+(height-i-1)*width*4+j*8+7) = alpha2;
}
}
}
else
{
int alpha = 255;
for (int i=0; i<height; ++i)
{
for (int j=0; j<width/2; ++j)
{
Y1 = *(pYUVData+i*width*2+j*4);
U1 = *(pYUVData+i*width*2+j*4+1);
Y2 = *(pYUVData+i*width*2+j*4+2);
V1 = *(pYUVData+i*width*2+j*4+3);
C1 = Y1-16;
C2 = Y2-16;
D1 = U1-128;
E1 = V1-128;
R1 = ((298*C1 + 409*E1 + 128)>>8>255 ? 255 : (298*C1 + 409*E1 + 128)>>8);
G1 = ((298*C1 - 100*D1 - 208*E1 + 128)>>8>255 ? 255 : (298*C1 - 100*D1 - 208*E1 + 128)>>8);
B1 = ((298*C1+516*D1 +128)>>8>255 ? 255 : (298*C1+516*D1 +128)>>8);
R2 = ((298*C2 + 409*E1 + 128)>>8>255 ? 255 : (298*C2 + 409*E1 + 128)>>8);
G2 = ((298*C2 - 100*D1 - 208*E1 + 128)>>8>255 ? 255 : (298*C2 - 100*D1 - 208*E1 + 128)>>8);
B2 = ((298*C2 + 516*D1 +128)>>8>255 ? 255 : (298*C2 + 516*D1 +128)>>8);
*(pRGBData+(height-i-1)*width*4+j*8+2) = R1<0 ? 0 : R1;
*(pRGBData+(height-i-1)*width*4+j*8+1) = G1<0 ? 0 : G1;
*(pRGBData+(height-i-1)*width*4+j*8) = B1<0 ? 0 : B1;
*(pRGBData+(height-i-1)*width*4+j*8+3) = alpha;
*(pRGBData+(height-i-1)*width*4+j*8+6) = R2<0 ? 0 : R2;
*(pRGBData+(height-i-1)*width*4+j*8+5) = G2<0 ? 0 : G2;
*(pRGBData+(he

linux 平台camera失去YUV数据转RGB888及加BMP头文件

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