How to treat information entropy and average gradient?

Information entropy and average gradient can be obtained by calculating the pixel value of the picture.

Information entropy is an index to measure the amount of image information, which can be obtained by calculating the distribution of image pixel values. Generally speaking, the greater the information entropy of an image, the richer the information it contains. The average gradient is an index to measure the degree of image change, which can be obtained by calculating the difference between image pixel values. Generally speaking, the greater the average gradient of an image, the more drastic the change of the image. You can use image processing software or related functions in programming languages to calculate the information entropy and average gradient of pictures.

Besides information entropy and average gradient, there are many other image features that can be used to describe and analyze images, such as gray histogram, edge detection, texture features and so on.