摘要: Lossless compression of color mosaic images poses a unique and interesting problem spectral decorrelation spatially interleaved R, G, B samples. We investigate reversible lossless spectral-spatial transforms that can remove statistical redundancies in both spatial domains discover particular wavelet decomposition scheme, called Mallat packet transform, is ideally suited to the task decorrelating data. also propose low-complexity adaptive context-based Golomb-Rice coding technique compress coefficients transform. The performance proposed method on apparently best so far among existing image codecs.
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