Reversible Colour Density Compression of Images using cGANs

Code

• github.com/Jozdien/Metise
  Officialtf★ 3

Abstract

Image compression using colour densities is historically impractical to decompress losslessly. We examine the use of conditional generative adversarial networks in making this transformation more feasible, through learning a mapping between the images and a loss function to train on. We show that this method is effective at producing visually lossless generations, indicating that efficient colour compression is viable.

Tasks

Reproductions