问题描述
对于我的最后一年项目，我将从手机拍摄照片，然后计算图像处理步骤。我将在各种照明条件下拍摄图像（自然光，不良闪电条件等）。有没有人知道我可以用来计算它的任何算法？
For my final year project i'l be taking the photographs from the mobile phone and then will be computing the image processing steps. I will the taking the images under various illumination conditions (natural light, poor lightning conditions and so on). Does any one knows any algorithm that I can use to compute it?
非常感谢
推荐答案
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我认为良好的白平衡仍然是一个活跃的研究领域。从您的问题来看，很难说出所寻求的解决方案应该是什么先进以及您需要什么。
Good whitebalancing is still an active field of research I guess. From your question, it is hard to tell how "advanced" the sought solution is supposed to be and what you need exactly.
在其他一些情况下，我最近遇到过这个问题。纸。他们对Whitebalancing有一个相当复杂的方法，并产生良好的结果：
In some other context, I recently encountered this paper. They have a quite complicated approach for Whitebalancing and produce good results:
像往常一样检查相关工作部分以获取更多提示。
Check the related work section for more hints, as usual.
如果你对白平衡不太感兴趣，而是需要进一步处理图像（听起来有点像评论中的那些），你应该瞄准对照明相当不变的技术 - 或至少强烈抵御照明的变化。例如。根据您的实际问题，在任何分隔亮度/亮度（即YUV，HSV）的色彩空间中转换图像可能会有所帮助。根据我的经验和直觉，我建议在大多数情况下，最好让你的识别算法再次强化照明的变化 - 而不是首先纠正照明。
If you are less interested in whitebalancing but rather require to process the images further (sounds a bit like that in your comment), you should possibly aim for techniques that are rather invariant to illumination - or at least robust against changes in illumination. E.g. transforming your image in any colorspace that separates the brightness/luminance (i.e. YUV, HSV) might help, depending on your actual problem. From my experience and intuition, I would suggest that in most cases it is better to make your "recognition"-algorithm robust agains changes in illumination - rather than correcting the illumination first.
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