我一直在试图解决一个YUV422到RGB转换问题约一个星期。我访问过许多不同的网站,并从每个网站获得不同的公式。如果任何人有任何建议,我会很高兴听到他们。下面的公式给我一个图像,其中全部是紫色或绿色。从这一刻起,我一直无法找到一个能让我找回正确的RGB图像的公式。我在下面列出了我所有的各种代码。正确的YUV422到RGB转换
//for(int i = 0; i < 1280 * 720 * 3; i=i+3)
//{
// /*m_RGB->imageData[i] = pData[i] + pData[i+2]*((1 - 0.299)/0.615);
// m_RGB->imageData[i+1] = pData[i] - pData[i+1]*((0.114*(1-0.114))/(0.436*0.587)) - pData[i+2]*((0.299*(1 - 0.299))/(0.615*0.587));
// m_RGB->imageData[i+2] = pData[i] + pData[i+1]*((1 - 0.114)/0.436);*/
// m_RGB->imageData[i] = pData[i] + 1.403 * (pData[i+1] - 128);
// m_RGB->imageData[i+1] = pData[i] + 0.344 * (pData[i+1] - 128) - 0.714 * (pData[i+2] - 128);
// m_RGB->imageData[i+2] = pData[i] + 1.773 * (pData[i+2] - 128);
//}
for(int i = 0, j=0; i < 1280 * 720 * 3; i+=6, j+=4)
{
/*m_RGB->imageData[i] = pData[j] + pData[j+3]*((1 - 0.299)/0.615);
m_RGB->imageData[i+1] = pData[j] - pData[j+1]*((0.114*(1-0.114))/(0.436*0.587)) - pData[j+3]*((0.299*(1 - 0.299))/(0.615*0.587));
m_RGB->imageData[i+2] = pData[j] + pData[j+1]*((1 - 0.114)/0.436);
m_RGB->imageData[i+3] = pData[j+2] + pData[j+3]*((1 - 0.299)/0.615);
m_RGB->imageData[i+4] = pData[j+2] - pData[j+1]*((0.114*(1-0.114))/(0.436*0.587)) - pData[j+3]*((0.299*(1 - 0.299))/(0.615*0.587));
m_RGB->imageData[i+5] = pData[j+2] + pData[j+1]*((1 - 0.114)/0.436);*/
/*m_RGB->imageData[i] = pData[j] + 1.403 * (pData[j+3] - 128);
m_RGB->imageData[i+1] = pData[j] + 0.344 * (pData[j+1] - 128) - 0.714 * (pData[j+3] - 128);
m_RGB->imageData[i+2] = pData[j] + 1.773 * (pData[j+1] - 128);
m_RGB->imageData[i+3] = pData[j+2] + 1.403 * (pData[j+3] - 128);
m_RGB->imageData[i+4] = pData[j+2] + 0.344 * (pData[j+1] - 128) - 0.714 * (pData[j+3] - 128);
m_RGB->imageData[i+5] = pData[j+2] + 1.773 * (pData[j+1] - 128);*/
BYTE Cr = pData[j+3] - 128;
BYTE Cb = pData[j+1] - 128;
/*m_RGB->imageData[i] = pData[j] + Cr + (Cr >> 2) + (Cr >> 3) + (Cr >> 5);
m_RGB->imageData[i+1] = pData[j] - ((Cb >> 2) + (Cb >> 4) + (Cb >> 5)) - ((Cr >> 1) + (Cr >> 3) + (Cr >> 4) + (Cr >> 5));
m_RGB->imageData[i+2] = pData[j] + Cb + (Cb >> 1) + (Cb >> 2) + (Cb >> 6);
m_RGB->imageData[i+3] = pData[j+2] + Cr + (Cr >> 2) + (Cr >> 3) + (Cr >> 5);
m_RGB->imageData[i+4] = pData[j+2] - ((Cb >> 2) + (Cb >> 4) + (Cb >> 5)) - ((Cr >> 1) + (Cr >> 3) + (Cr >> 4) + (Cr >> 5));
m_RGB->imageData[i+5] = pData[j+2] + Cb + (Cb >> 1) + (Cb >> 2) + (Cb >> 6);*/
/*int R1 = clamp(1 * pData[j] + 0 * Cb + 1.4 * Cr, 0, 255), R2 = clamp(1 * pData[j+2] + 0 * Cb + 1.4 * Cr, 0, 255);
int G1 = clamp(1 * pData[j] - 0.343 * Cb - 0.711 * Cr, 0, 255), G2 = clamp(1 * pData[j+2] - 0.343 * Cb - 0.711 * Cr, 0, 255);
int B1 = clamp(1 * pData[j] + 1.765 * Cb + 0 * Cr, 0, 255), B2 = clamp(1 * pData[j+2] + 1.765 * Cb + 0 * Cr, 0, 255);*/
/*int R1 = clamp(pData[j] + 1.403 * (pData[j+3] - 128), 0, 255), R2 = clamp(pData[j+2] + 1.403 * (pData[j+3] - 128), 0, 255);
int G1 = clamp(pData[j] + 0.344 * (pData[j+1] - 128) - 0.714 * (pData[j+3] - 128), 0, 255), G2 = clamp(pData[j+2] + 0.344 * (pData[j+1] - 128) - 0.714 * (pData[j+3] - 128), 0, 255);
int B1 = clamp(pData[j] + 1.773 * (pData[j+1] - 128), 0, 255), B2 = clamp(pData[j+2] + 1.773 * (pData[j+1] - 128), 0, 255);*/
int R1 = clamp((298 * (pData[j] - 16) + 409 * (pData[j+3] - 128) + 128) >> 8, 0, 255), R2 = clamp((298 * (pData[j+2] - 16) + 409 * (pData[j+3] - 128) + 128) >> 8, 0, 255);
int G1 = clamp((298 * (pData[j] - 16) - 100 * (pData[j+1] - 128) - 208 * (pData[j+3] - 128) + 128) >> 8, 0, 255), G2 = clamp((298 * (pData[j+2] - 16) - 100 * (pData[j+1] - 128) - 208 * (pData[j+3] - 128) + 128) >> 8, 0, 255);
int B1 = clamp((298 * (pData[j] - 16) + 516 * (pData[j+1] - 128) + 128) >> 8, 0, 255), B2 = clamp((298 * (pData[j+2] - 16) + 516 * (pData[j+1] - 128) + 128) >> 8, 0, 255);
//printf("R: %d, G: %d, B: %d, R': %d, G': %d, B': %d \n", R1, G1, B1, R2, G2, B2);
m_RGB->imageData[i] = (char)R1;
m_RGB->imageData[i+1] = (char)G1;
m_RGB->imageData[i+2] = (char)B1;
m_RGB->imageData[i+3] = (char)R2;
m_RGB->imageData[i+4] = (char)G2;
m_RGB->imageData[i+5] = (char)B2;
/*m_RGB->imageData[i] = (char)(clamp(1.164 * (pData[j] - 16) + 1.793 * (Cr), 0, 255));
m_RGB->imageData[i+1] = (char)(clamp(1.164 * (pData[j] - 16) - 0.534 * (Cr) - 0.213 * (Cb), 0, 255));
m_RGB->imageData[i+2] = (char)(clamp(1.164 * (pData[j] - 16) + 2.115 * (Cb), 0, 255));
m_RGB->imageData[i+3] = (char)(clamp(1.164 * (pData[j+2] - 16) + 1.793 * (Cr), 0, 255));
m_RGB->imageData[i+4] = (char)(clamp(1.164 * (pData[j+2] - 16) - 0.534 * (Cr) - 0.213 * (Cb), 0, 255));
m_RGB->imageData[i+5] = (char)(clamp(1.164 * (pData[j+2] - 16) + 2.115 * (Cb), 0, 255));*/
}
任何帮助,非常感谢。
什么是YUV数据的来源,什么是目的地?例如,如果目标是Windows,则需要使用BGR顺序而不是RGB。 –
YUV来自Decklink Intensity Pro采集卡。我也尝试翻转BGR/RGB值,但没有帮助。这是在Windows盒子上完成的 – Seb
如果您使用的是decklink SDK,为什么不简单地使用作为API一部分的ConvertFrame方法? – ronag