Spatially adaptive image compression using a tiled deep network
international conference on image processing, 2017.
Deep neural networks represent a powerful class of function approximators that can learn to compress and reconstruct images. Existing image compression algorithms based on neural networks learn quantized representations with a constant spatial bit rate across each image. While entropy coding introduces some spatial variation, traditional ...More
Full Text (Upload PDF)
PPT (Upload PPT)