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IEICE TRANSACTIONS on Information

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

ChenGuang ZHOU, Kui MENG, ZuLian QIU

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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.

Publication
IEICE TRANSACTIONS on Information Vol.E88-D No.9 pp.2223-2227
Publication Date
2005/09/01
Publicized
Online ISSN
DOI
10.1093/ietisy/e88-d.9.2223
Type of Manuscript
LETTER
Category
Image Processing and Video Processing

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