Vrinda Shivashetty¹ and G.G Rajput², ¹Gulbarga University, India and ²Rani Channamma University, India

This paper presents image compression method using Interactive Artificial Bee Colony (IABC) optimization algorithm. The proposed method reduces storage and facilitates data transmission by reducing transmission costs. To get the finest quality of compressed image, utilizing local search, IABC determines different update coefficient, and the best update coefficient is chosen optimally. By using local search in the update step, we alter the center pixels with the co-efficient in 8-different directions with a considerable window size, to produce the compressed image, expressed in terms of both PSNR and compression ratio. The IABC brings in the idea of universal gravitation into the consideration of the affection between onlooker bees and the employed bees. By passing on different values of the control parameter, the universal gravitation involved in the IABC has various quantities of the single onlooker bee and employed bees. As a result when compared to existing methods, the proposed work gives better PSNR.

IABC, Image Compression, Wavelet Transform, Adaptive Lifting Scheme, PSNR.