ITERATION FREE FRACTAL COMPRESSION USING GENETIC ALGORITHM FOR STILL COLOUR IMAGES

ICTACT Journal on Image and Video Processing ( Volume: 4 , Issue: 3 )

Abstract

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The storage requirements for images can be excessive, if true color and a high-perceived image quality are desired. An RGB image may be viewed as a stack of three gray-scale images that when fed into the red, green and blue inputs of a color monitor, produce a color image on the screen. The abnormal size of many images leads to long, costly, transmission times. Hence, an iteration free fractal algorithm is proposed in this research paper to design an efficient search of the domain pools for colour image compression using Genetic Algorithm (GA). The proposed methodology reduces the coding process time and intensive computation tasks. Parameters such as image quality, compression ratio and coding time are analyzed. It is observed that the proposed method achieves excellent performance in image quality with reduction in storage space.

Authors

A.R. Nadira Banu Kamal, P. Priyanga
Thassim Beevi Abdul Khader College for Women, India

Keywords

Fractal Image Compression, Genetic Algorithm, Synthetic Code Book, Iteration Free, Colour Images

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 4 , Issue: 3 )
Date of Publication
February 2014
Pages
785-790

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