A Hybrid Lossless Compression of Still Images Using Markov Models and Linear Prediction

Markov model approximation of digital images gives very low entropy, but requires a huge amount of storage to maintain the frequency table for encoding and decoding. Therefore, it has only been used for binary picture compression so far.