Title: Image compression using APSO

Authors: Manish Kumar Saini; Rajiv Kapoor

Addresses: Deenbandhu Chhotu Ram University of Science and Technology, Sonipat, India ' Delhi Technological University, Delhi, India

Abstract: A novel framework has been proposed by integrating FIM with APSO to get their mutual benefits for achieving near optimum codebook for carrying an image compression. Proposed scheme uses adaptive strategies which have two main features that give APSO an upper hand over the PSO. This FAPSOVQ strategy is compared with FPSOVQ algorithm to show its efficiency in terms of preventing the global best particle from getting stuck in local optima as in the PSO. Peak-signal-to-noise ratio is taking as a parameter to show the efficiency of proposed scheme.

Keywords: APSO; adaptive PSO; particle swarm optimisation; VQ; vector quantisation; image compression; digital images.

DOI: 10.1504/IJAISC.2012.048180

International Journal of Artificial Intelligence and Soft Computing, 2012 Vol.3 No.1, pp.70 - 80

Accepted: 14 May 2011
Published online: 29 Nov 2014 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article