A fast FIC using visual-based CPSO

摘要

Fractal Image Compression encodes the image at low bitrates with acceptable image quality but, the time taken for encoding is large in most of the proposals. In this paper, a Fast Search Strategy using visual-based Particle Swarm Optimization (CPSO) with Chaos searching is proposed to enhance the speed of fractal image encoding. The search for near best match utilizes the visual based optimization with k-restrictions and intuitive move. The evaluated suboptimum value is close to that of best match. Though the strategy is according to edge property it preserves better visual quality. Thus the CPSO-kI technique speeds up the fractal encoder by 128 times and preserves better image quality.