Vive Media Decoder修复及公式推导

冰法昨天修复了Vive Media Decoder解析mp4图像颜色错误的问题,并且写了博客。

https://gameoldboy.com/488/

读了一下,有几点补充说明,因为我喜欢把数算一遍,以确定其正确性。

主要内容在这几个公式上

将ycbcr重新映射到全范围0-255:
y=(255/(235-16))*(y-16)
cb=(255/(240-16))*(cb-16)
cr=(255/(240-16))*(cr-16)

根据u和v的取值范围,将ycbcr映射到yuv(整数):
y=y
u=0.872*(cb-128)
v=1.230*(cr-128)

应用矩阵叉乘展开:
r=y+1.28033*v
g=y-0.21482*u-0.38059*v
b=y+2.12798*u

整合公式:
r=(255/(235-16))*(y-16)+(255/(240-16))*1.28033*(1.230*(cb-128))
g=(255/(235-16))*(y-16)-(255/(240-16))*0.21482*(0.872*(cr-128))-(255/(240-16))*0.38059*(1.230*(cb-128))
b=(255/(235-16))*(y-16)+(255/(240-16))*2.12798*(0.872*(cr-128))

这些公式对应的是RGB888格式的,其中

y=y
u=0.872*(cb-128)
v=1.230*(cr-128)

这个系数的由来是这里

https://en.wikipedia.org/wiki/YUV#Numerical_approximations

也就是

umax = 0.436
vmax = 0.615
y = [0, 1]
u = [-umax, umax]
v = [-vmax, vmax]
rangeY = 1 - 0 = 1
rangeU = umax - (-umax) = 2 * umax = 0.872
rangeV = vmax - (-vmax) = 2 * vmax = 1.230

YUV转RGB,应用BT.709矩阵

应用矩阵叉乘展开:
r=y+1.28033*v
g=y-0.21482*u-0.38059*v
b=y+2.12798*u

r = 1 * y + 0 * u + 1.28033 * v
g = 1 * y - 0.21482 * u - 0.38059 * v
b = 1 * y + 2.12798 * u + 0 * v

然后就是单纯的算数展开与合并

r=(255/(235-16))*(y-16)+(255/(240-16))*1.28033*(1.230*(cb-128))
g=(255/(235-16))*(y-16)-(255/(240-16))*0.21482*(0.872*(cr-128))-(255/(240-16))*0.38059*(1.230*(cb-128))
b=(255/(235-16))*(y-16)+(255/(240-16))*2.12798*(0.872*(cr-128))

定义个变量简化一下

float facY = (255/(235-16)) = 1.1643835616438356164383561643836
float facCBCR = (255/(240-16)) = 1.1383928571428571428571428571429

于是上式可以写为

r = facY * (y-16) + facCBCR * 1.28033 * (1.230*(cb-128))
g = facY * (y-16) - facCBCR * 0.21482 * (0.872*(cr-128)) - facCBCR * 0.38059 * (1.230*(cb-128))
b = facY * (y-16) + facCBCR*  2.12798 * (0.872*(cr-128))

因为目前是RGB888,范围是[0-255],变成Shader范围是[0,1],所以

y-16要变成y-0.0627451

cb-128要变成cb-0.5019608

因为

16/255 = 0.062745098039215686274509803921569 约 0.0627451
128/255 = 0.50196078431372549019607843137255 约 0.5019608
 

接着替换

r = facY * (y-0.0627451) + facCBCR * 1.28033 * (1.230*(cb-0.5019608))
g = facY * (y-0.0627451) - facCBCR * 0.21482 * (0.872*(cr-0.5019608)) - facCBCR * 0.38059 * (1.230*(cb-0.5019608))
b = facY * (y-0.0627451) + facCBCR * 2.12798 * (0.872*(cr-0.5019608))

合并常量

facCBCR * 1.28033 * 1.230 = 1.792748
facCBCR * 0.21482 * 0.872 = 0.2132472
facCBCR * 0.38059 * 1.230 = 0.5329109
facCBCR*  2.12798 * 0.872 = 2.1124

最后rgb结果近似为

r = 1.164384 * (y-0.0627451) + 1.792748 * (cb-0.5019608)
g = 1.164384 * (y-0.0627451) - 0.2132472 * (cr-0.5019608) - 0.5329109 * (cb-0.5019608)
b = 1.164384 * (y-0.0627451) + 2.1124 * (cr-0.5019608)

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转载自www.cnblogs.com/kileyi/p/10991897.html