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A Classification Algorithm Based on Regions' Luminance Distribution Applying to Fractal Image Compression

ChenGuang ZHOU
Kui MENG
ZuLian QIU

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E88-D    No.9    pp.2223-2227
Publication Date: 2005/09/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.9.2223
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
fractal coding,  image compression,  match seeking,  classification algorithm,  

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Summary: 
This paper present three characteristic functions which can express the luminance distribute characteristic much better. Based on these functions a region classification algorithm is presented. The algorithm can offer more information on regions' similarity and greatly improve the efficiency and performance of match seeking in fractal coding. It can be widely applied to many kinds of fractal coding algorithms. Analysis and experimental results proved that it can offer more information on luminance distribute characteristics among regions and greatly improve the decoding quality and compression ratio with holding the running speed.


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