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Innovations in Systems and Software Engineering
Published in: Innovations in Systems and Software Engineering 1/2019

12-02-2019 | S.I. : CSI2017

An adaptive fractal-based image coding with hierarchical classification strategy and its modifications

Author: Utpal Nandi

Published in: Innovations in Systems and Software Engineering | Issue 1/2019

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Abstract

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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Metadata
Title
An adaptive fractal-based image coding with hierarchical classification strategy and its modifications
Author
Utpal Nandi
Publication date
12-02-2019
Publisher
Springer London
Published in
Innovations in Systems and Software Engineering / Issue 1/2019
Print ISSN: 1614-5046
Electronic ISSN: 1614-5054
DOI
https://doi.org/10.1007/s11334-019-00327-5

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