Abstract
A subband decomposition based lossless image compression algorithm based on adaptive methods is described. The decomposition is achieved by a two-channel adaptive filter bank. The resulting coefficients are lossy coded first, and then the residual error between the lossy and error free coefficients are compressed. The locations and the magnitudes of the nonzero coefficients are encoded separately by a hierarchical enumerative coding method. The locations of the nonzero coefficients in child bands are predicted from those in the parent band. The proposed compression algorithm, on the average, provides higher compression ratios than the state-of-the-art methods.
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