DWT based-approach for color image compression using genetic algorithm

Authors:
Aldjia Boucetta;Kamal Eddine Melkemi
Affiliations:
Department of Computer Science, Faculty of Science, University of Batna, Batna, Algeria;Department of Computer Science, Faculty of Science, University of Biskra, Biskra, Algeria
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

Citing 4
Cited 0

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
A new approach for optical colored image compression using the JPEG standards

Signal Processing
Color image compression based on block truncation coding using pattern fitting principle

Pattern Recognition
A comparative study of DCT- and wavelet-based image coding

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a color image compression technique based on Discrete Wavelet Transform (DWT) and Genetic Algorithm (GA). High degree of correlation between the RGB planes of a color image is reduced by transforming them to more suitable space by using the GA. This GA would enable us to find T1T2T3 representation, in which T1 energy is more maximized than that of T2 and T3. The result of the proposed method is compared with previous similar published methods and the former is found superior in terms of quality of the reconstructed image. Further, proposed method is efficient in compression ability and fast in implementation.