Title
Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding
Abstract
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
Year
DOI
Venue
2001
10.1109/83.892438
IEEE Transactions on Image Processing
Keywords
Field
DocType
Image coding,Arithmetic,Wavelet transforms,Image sampling,Decorrelation,Context modeling,Wavelet coefficients,Filter bank,Image resolution,Image storage
Computer vision,Lossless JPEG,Entropy encoding,Pattern recognition,Lossy compression,Context-adaptive variable-length coding,Artificial intelligence,Data compression,Arithmetic coding,Mathematics,Lossless compression,Context-adaptive binary arithmetic coding
Journal
Volume
Issue
ISSN
10
1
1057-7149
Citations 
PageRank 
References 
47
4.92
24
Authors
3
Name
Order
Citations
PageRank
nikolaos v boulgouris141623.69
Dimitrios Tzovaras21377205.82
michael g strintzis3109579.71