Image compression using APSO
by Manish Kumar Saini; Rajiv Kapoor
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 3, No. 1, 2012

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.

Online publication date: Sat, 29-Nov-2014

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