The research of orthogonal vector-valued wavelet packets
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Characteristics of orthogonal vector-valued wavelet packet bases
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Properties of vector-valued multivariable wavelet packets with m-scale
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Context-based embedded image compression using binary wavelet transform
Image and Vision Computing
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Researches into orthogonal multivariate wavelet packets with finite support
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
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Lossless compression of color mosaic images poses a unique and interesting problem of spectral decorrelation of spatially interleaved R, G, B samples. We investigate reversible lossless spectral-spatial transforms that can remove statistical redundancies in both spectral and spatial domains and discover that a particular wavelet decomposition scheme, called Mallat wavelet packet transform, is ideally suited to the task of decorrelating color mosaic data. We also propose a low-complexity adaptive context-based Golomb-Rice coding technique to compress the coefficients of Mallat wavelet packet transform. The lossless compression performance of the proposed method on color mosaic images is apparently the best so far among the existing lossless image codecs.