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