ISP中Bayer域下linearization算法模块代码
时间: 2024-04-12 12:32:28 浏览: 10
以下是一个简化的Bayer域下linearization算法模块的伪代码示例:
```
function linearization(bayerImage):
// 根据Bayer模式确定各颜色通道的位置
redChannel = bayerImage[::2, ::2]
greenRedChannel = bayerImage[1::2, ::2]
greenBlueChannel = bayerImage[::2, 1::2]
blueChannel = bayerImage[1::2, 1::2]
// 对各颜色通道进行线性化处理
redChannelLinearized = applyLinearization(redChannel)
greenRedChannelLinearized = applyLinearization(greenRedChannel)
greenBlueChannelLinearized = applyLinearization(greenBlueChannel)
blueChannelLinearized = applyLinearization(blueChannel)
// 合并线性化后的通道
linearizedImage = createEmptyImage(bayerImage.shape)
linearizedImage[::2, ::2] = redChannelLinearized
linearizedImage[1::2, ::2] = greenRedChannelLinearized
linearizedImage[::2, 1::2] = greenBlueChannelLinearized
linearizedImage[1::2, 1::2] = blueChannelLinearized
return linearizedImage
function applyLinearization(channel):
// 执行线性化处理算法,例如使用LUT(查找表)或多项式拟合等
linearizedChannel = ...
return linearizedChannel
```
请注意,这只是一个简化的示例,实际的线性化算法可能更加复杂,具体实现可能会因设备和应用而异。在实际应用中,可能还需要考虑噪声去除、颜色校正等其他步骤来进一步优化图像质量。