JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Theory of cellular automata: a survey
Theoretical Computer Science
A Binary Image Scalable Coder Based on Reversible Cellular Automata Transform and Arithmetic Coding
DCC '09 Proceedings of the 2009 Data Compression Conference
Lossy to Lossless Spatially Scalable Depth Map Coding with Cellular Automata
DCC '09 Proceedings of the 2009 Data Compression Conference
Nonlinear wavelet transforms for image coding via lifting
IEEE Transactions on Image Processing
Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard
IEEE Transactions on Circuits and Systems for Video Technology
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Reversible cellular automata have been proposed as nonlinear filter banks for spatially scalable binary image compression. Previous design approaches led to efficient coders for simple images but do not guarantee detail preservation across scales. In this work we are concerned with the design of optimized cellular automata rules that offer better performances. The lifting principle is used for guaranteeing reversibility. We obtain a scalable coder that (i) offers the same quality of JBIG in the reduced scale images, (ii) achieves high compression ratios on simple images, (iii) provides at least the same performance of JBIG on any image content, and (iv) employs arithmetic coding with a very small number of contexts for reduced complexity.