DocumentCode :
3761160
Title :
Fractal image compression with adaptive quardtree partitioning and archetype classification
Author :
Utpal Nandi;Jyotsna Kumar Mandal
Author_Institution :
Department of Computer Science, Vidyasagar University, West Bengal, India
fYear :
2015
Firstpage :
56
Lastpage :
60
Abstract :
In this paper, a novel fractal image compression with adaptive quardtree partitioning scheme is proposed. The technique classifies ranges and domains using a different classification method known as archetype classification that significantly reduces the mean square error (MSE) computations during encoding. Performance of the proposed technique in terms of compression ratios and fidelity versus encoding time data are compared with fractal image compression with quardtree partitioning scheme and fractal image compression with adaptive quardtree partitioning scheme.
Keywords :
"Image coding","Fractals","Encoding","Context","Computer science","Mean square error methods","Classification algorithms"
Publisher :
ieee
Conference_Titel :
Research in Computational Intelligence and Communication Networks (ICRCICN), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICRCICN.2015.7434209
Filename :
7434209
Link To Document :
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