出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper presents image compression method using Interactive Artificial Bee Colony (IABC)optimization algorithm. The proposed method reduces storage and facilitates data transmissionby reducing transmission costs. To get the finest quality of compressed image, utilizing localsearch, IABC determines different update coefficient, and the best update coefficient is chosenoptimally. By using local search in the update step, we alter the center pixels with the coefficientin 8-different directions with a considerable window size, to produce the compressedimage, expressed in terms of both PSNR and compression ratio. The IABC brings in the idea ofuniversal gravitation into the consideration of the affection between onlooker bees and theemployed bees. By passing on different values of the control parameter, the universalgravitation involved in the IABC has various quantities of the single onlooker bee and employedbees. As a result when compared to existing methods, the proposed work gives better PSNR.
