期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：63
期号：3
出版社：Journal of Theoretical and Applied
摘要：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. Particle Swam Optimization (PSO) and Wavelet transformation methods are used to reduce the encoding time. Both of the techniques and their performance are analyzed in terms of their compression ratio, encoding time, Mean Square Error (MSR) and PSNR (Peak Signal-to Noise Ratio) value. Based on these parameters the performances of the techniques are studied and a comparative analysis of these techniques is provided.
