Fractal Image Compression with Error Control

Fractal image compression is of great interest both in theory and application. However, applications of fractal-based coding to other aspects of image processing have received little attention. In this paper, we propose a fast encoding algorithm to enhance and restore a noisy image, and utilize the coding scheme for transmission through the wireless fading channel. By using the predicted frequency-like contrast coefficients, we simplify the calculations for the contrast and brightness parameters, and suppress a significant amount of the noise. Experimental results show that the encoding time is about two times faster than that of the full search method, and also gain better quality for the deblurred image.