Performance Analysis of Control Parameters of Artificial Bee colony Algorithm for JPEG Images
Nasim A. Shah1, Nandana Prabhu2
1Prof. Nasim A. Shah, Department of Information Technology, Mumbai University, K. J. Somaiya Institute of Engineering and Information Technology, Mumbai, India.
2Prof. Nandana Prabhu, Department of Information Technology, Mumbai University, K. J. Somaiya College of Engineering, Mumbai, India.

Manuscript received on July 05, 2013. | Revised Manuscript received on July 11, 2013. | Manuscript published on July 15, 2013. | PP: 24-28 | Volume-1 Issue-8, July 2013. | Retrieval Number: : H0375071813/2013©BEIESP
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Abstract: The technological advancement and innovations needs more bandwidth, large capacities and high performance devices. Compression on digital images plays an important role in data compression as a typical multimedia technique. Wavelet Packet Decomposition is one of the image compression technique in which both approximation and detail coefficients of an image are extracted repeatedly up to a filtering level. Deciding the best topology of the wavelet packets can be considered as a structural optimization problem. Swarm intelligence has been popularly used for solving the optimization problems: Artificial Bee Colony (ABC) is the most recently proposed algorithm based on the systematic foraging behavior of honey bees. In this paper Wavelets Packet Decomposition is applied to JPEG images using various Wavelet families. Once coefficients are generated, the optimum threshold values are determined using Artificial Bee Colony (ABC) algorithm to obtain the best reconstructed image. The results are compared on the basis of some control parameters. It is observed that Wavelet Packet optimization using Daubechies filter is better that the other filters.
Keywords: Artificial Bee Colony Algorithm (ABC), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Wavelet Packet Decomposition (WPD).