Image entropy

[ALAN-MHz]

dear all,
i need to code a procedure like image entropy calculator, for more clear please take a look at this:

https://easyupload.io/vstl9o

In this file i include 6 image files, 1 good and 5 wrong, all are not complete image, only a crop, for example purphose, i need to identify with the major possible percentage the good and the fail image, for now i've tried to code a procedure for count color image, but i notice that some good image have a lot of color like the wrong one, after i try to check alternage of color on single line, but also this return me fake results, so i think that an image entropy calculator can be a good solution, but i don't found some clear algorithm to better know about this.

Anyone have a problem like me and already found a possible solution ?

Please ignore color in image that of course can change on all possible colors in both good and wrong case.

Thanks to all

[Caronte3D]

Maybe is better if you use OpenCV for this job

[ALAN-MHz]

Maybe is better if you use OpenCV for this job

i know, but i prefer to not use external elements in this project

[RASHAD]

If your resized ( Or zoomed) the image the bad image will be pixalized heavily
So you can compare between the no of colors of a segment area of the main image and the equal size of the resized image it may give you an opinion about the quality
Have a good luck

[ALAN-MHz]

If your resized ( Or zoomed) the image the bad image will be pixalized heavily
So you can compare between the no of colors of a segment area of the main image and the equal size of the resized image it may give you an opinion about the quality
Have a good luck

interesting idea, i'll take a look on next week about this, thanks!

[ALAN-MHz]

the problem is not so easy to solve, because i notice that also good image can have huge entropy, still thinking about a possible workaround, thanks to all