A fast fractal image compression method based on entropy

M. Hassaballah; M. M. Makky; Youssef B. Mahdy

doi:10.1142/9789812834461_0008

A fast fractal image compression method based on entropy

M. Hassaballah
, M. M. Makky
, Youssef B. Mahdy

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Fractal image compression gives some desirable properties like resolution independence, fast decoding, and very competitive ratedistortion curves. But still suffers from a (sometimes very) high encoding time, depending on the approach being used. This paper presents a method to reduce the encoding time of this technique by reducing the size of the domain pool based on the Entropy value of each domain block. Experimental results on standard images show that the proposed method yields superior performance over conventional fractal encoding.

Original language	English
Title of host publication	Progress In Computer Vision And Image Analysis
Publisher	World Scientific Publishing Co.
Pages	137-152
Number of pages	16
ISBN (Electronic)	9789812834461
DOIs	https://doi.org/10.1142/9789812834461_0008
State	Published - 1 Jan 2009
Externally published	Yes

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10.1142/9789812834461_0008

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A fast fractal image compression method based on entropy

Abstract

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