I am a beginner in image compression domain using Deep learning Autoencoders. I understood the concept of Bits per pixel of an image but I confused how to calculate it while performing image compression using autoencoders.
I have read a lot of research articles (eg: Variable Rate Deep Image Compression with a conditional autoencoder by Yoojin Choi et al. and many other similar articles) in the net which include the bpp values in them calculated from latent space representation for comparison between different autoencoder models but I could not find any straight forward way or description on how to calculate the bpp value while performing compression using autoencoders.
How to calculate Bits Per pixel in autoencoder using latent space representation?
I have spent weeks sorting it out but no luck still. Kindly guide me in this. Thanks in advance
