PR-328: End-to-End OptimizedImage Compression

The document discusses end-to-end optimized image compression techniques, focusing on entropy coding methods such as Huffman coding and their applications in lossless and lossy compression. It addresses various network structures for image compression, including neural network approximations and optimization strategies involving mean squared error loss functions. The document also presents experimental results highlighting qualitative and quantitative evaluations of the proposed methods.