Adaptive lifting for nonparametric regression
Statistics and Computing
Block-based adaptive vector lifting schemes for multichannel image coding
Journal on Image and Video Processing
Multiple description wavelet coding of layered video using optimal redundancy allocation
EURASIP Journal on Applied Signal Processing
Edge-oriented spatial interpolation for error concealment of consecutive blocks
Journal of Computer Science and Technology
Adapted generalized lifting schemes for scalable lossless image coding
Signal Processing
Face recognition based on multi-scale singular value features
WSEAS Transactions on Computers
Adaptive 2-D wavelet transform based on the lifting scheme with preserved vanishing moments
IEEE Transactions on Image Processing
Directional filtering transform for image/intra-frame compression
IEEE Transactions on Image Processing
A new algorithm for generalized wavelet transform
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
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The optimal predictors of a lifting scheme in the general n-dimensional case are obtained and applied for the lossless compression of still images using first quincunx sampling and then simple row-column sampling. In each case, the efficiency of the linear predictors is enhanced nonlinearly. Directional postprocessing is used in the quincunx case, and adaptive-length postprocessing in the row-column case. Both methods are seen to perform well. The resulting nonlinear interpolation schemes achieve extremely efficient image decorrelation. We further investigate context modeling and adaptive arithmetic coding of wavelet coefficients in a lossless compression framework. Special attention is given to the modeling contexts and the adaptation of the arithmetic coder to the actual data. Experimental evaluation shows that the best of the resulting coders produces better results than other known algorithms for multiresolution-based lossless image coding