https://www.cnblogs.com/wangyong/p/9119394.html

图像色差处理-光照问题3种处理方法

https://blog.csdn.net/yingchunhua365/article/details/14044773

背景颜色的去处方法，提取肤色

 

https://www.cnblogs.com/Py00/p/8876825.html

OpenCV调整彩色图像的饱和度和亮度

https://www.jianshu.com/p/a23653f8b26b

https://blog.csdn.net/qq_20095389/article/details/82147571

亮度对比度及图像合并 cv2.addWeighted或hstack

 

https://blog.csdn.net/kuweicai/article/details/78988886

归一化方法

 

https://blog.csdn.net/oMoDao1/article/details/84307509

计算均值及均方差

 

>>> a=np.array([[1,2,3],[4,5,6]])
>>> np.mean(a,axis=0)
array([2.5, 3.5, 4.5])
>>> np.mean(a,axis=1)
array([2., 5.])
>>> a
array([[1, 2, 3],
       [4, 5, 6]])
>>> (a+[0,0,10])/[1,1,2]*[1,1,5]
array([[ 1. ,  2. , 32.5],
       [ 4. ,  5. , 40. ]])
>>> (a+[0,0,10])/[1,1,2]*[1,1,5]+[0,0,12]
array([[ 1. ,  2. , 44.5],
       [ 4. ,  5. , 52. ]])
>>>