A Study on Fractal Image Compression using Soft Computing Techniques
D. Sophin Seeli, M. K. Jeyakumar · 2012
Fractal compression is a lossy compression method for digital images, based on fractals. The method is best suited for textures and natural images, relying on the fact that parts of an image often resemble other parts of the same image. Fractal Image Compression (FIC) techniques take more time to perform processes are encoding and global search. Many different researchers and companies are trying to develop a new algorithm to reach shorter encoding time and smaller files. But there are still some problems with fractal compression. This paper analyses the existing FIC techniques that has been developed for the purpose of increasing compression rate and reduce computational time. These FIC techniques commonly utilized the optimization techniques to find the optimal best matching blocks. Each of the FIC techniques and their performance are analyzed in terms of their compression ratio, encoding time and PSNR(Peak Signal-to Noise Ratio) value. Based on these parameters the performance of the FIC techniques were studied and a comparative analysis of these techniques was provided.