[JCBird1012]

I can see what was meant with that statement. I do think compression increases Shannon entropy by virtue of it removing repeating patterns of data - Shannon entropy per byte of compressed data increases since it’s now more “random” - all the non-random patterns have been compressed out.

Total information entropy - no. The amount of information conveyed remains the same.

[gary_0]

Technically with lossy compression, the amount of information conveyed will likely change. It could even increase the amount of information of the decompressed image, for instance if you compress a cartoon with simple lines and colors, a lossy algorithm might introduce artifacts that appear as noise.