What are the functions of square equalization and square normalization in matlab image processing?

1, the "central idea" of histogram equalization processing is to change the gray histogram of the original image from a relatively concentrated gray range to a uniform distribution in all gray ranges. Histogram equalization is to stretch the image nonlinearly and redistribute the pixel values of the image so that the number of pixels in a certain gray range is roughly the same. Histogram equalization is to change the histogram distribution of a given image into a "uniform" histogram distribution. 2. Normalization is a dimensionless processing method, which makes the absolute value of the physical system become a relative value relationship. An effective method to simplify the calculation and reduce the numerical value. Histogram normalization analogy this!