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Adaptive update lifting scheme based Interactive artificial bee colony algorithm is proposed in this paper. Wavelet transform based compression technique is used for images and multimedia files. Approximation and detail coefficients are extracted from the signal by filtering in wavelet transform. To increase frequency resolution both approximation and detail coefficients are re-decomposed up to some level. Artificial bee colony algorithm by local search finds different update coefficients to get quality of compressed image by choosing optimally best update coefficient. In IABC, the affection between employed bees and the onlooker bees is found by considering the concept of universal gravitation. By passing on control parameter different values, the universal gravitation involved in the IABC has a single onlooker bee & variety of quantities of employed bees. As a result, IABC compared with existing image compression schemes such as wavelet transform and Artificial Bee colony Algorithm, the proposed work gives better PSNR.

A Comparative Study on Adaptive Lifting Based Scheme and Interactive Artificial Bee Colony Algorithm for Image Compression