This paper deals with a universal coding problem for a certain kind of multiterminal source coding network called a generalized complementary delivery network. In this network, messages from multiple correlated source...
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This paper deals with a universal coding problem for a certain kind of multiterminal source coding network called a generalized complementary delivery network. In this network, messages from multiple correlated sources are jointly encoded, and each decoder has access to some of the messages to enable it to reproduce the other messages. Both fixed-to-fixed length and fixed-to-variable length losslesscoding schemes are considered. Explicit constructions of universal codes and the bounds of the error probabilities are clarified by using methods of types and graph-theoretical analysis.
Fractal-based image coding is one of the efficient methods for grayscale image since the reconstructed images are resolution independent and also has low reconstruction time. This paper discusses the efficiency of hie...
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Fractal-based image coding is one of the efficient methods for grayscale image since the reconstructed images are resolution independent and also has low reconstruction time. This paper discusses the efficiency of hierarchical classification strategy for fractal image coding that uses adaptive quadtree partitioning. The scheme forms two level hierarchical domain groups and ranges are matched with similar hierarchical domain class. The fractal image coding technique with hierarchical classification strategy is then modified also to improve the compression ratio by using an efficient loss-less coding scheme OLZW on fractal compressed image. A variant of OLZW, i.e., MOLZW is also applied for the same. These modified variants show their significant improvements in compression ratio without degradation of image quality.
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