Seung-Kwon Beack

Context-adaptive Entropy Model for End-to-end Optimized Image Compression

We propose a context-adaptive entropy model for use in end-to-end optimized image compression. Our model exploits two types of contexts, bit-consuming contexts and bit-free contexts, distinguished based upon whether additional bit allocation is required. Based on these contexts, we allow the model t…