Fractal image coding using rate-distortion optimized matching pursuit
Mohammad Gharavi-Alkhansari, Thomas S. Huang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
Matching pursuit is a general and flexible method for solving an optimization problem that is of interest in signal analysis, coding, control theory and statistics. In this paper, principles of rate-distortion optimal coding are used in combination with matching pursuit algorithm to obtain an enhanced fractal image coding method. The advantages of using such a method over traditional fractal image coders are described and compression results are presented.