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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 924274, 12 pages
http://dx.doi.org/10.1155/2013/924274
Research Article

Multiple Description Wavelet-Based Image Coding Using Iterated Function System

School of Science, Beijing Information Science and Technology University, Beijing 100192, China

Received 17 December 2012; Revised 17 February 2013; Accepted 18 February 2013

Academic Editor: Wang Xing-yuan

Copyright © 2013 Jie Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Recent literature highlights the multiple description coding (MDC) as a promising method to solve the problem of resilient image coding over error-prone networks, where packet losses occur. In this paper, we introduce a novel multiple description wavelet-based image coding scheme using fractal. This scheme exploits the fractal’s ability, which is to describe the different resolution scale similarity (redundancy) among wavelet coefficient blocks. When one description is lost, the lost information can be reconstructed by the proposed iterated function system (IFS) recovering scheme with the similarity and some introduced information. Compared with the referenced methods, the experimental results suggest that the proposed scheme can achieve better performance. Furthermore, it is substantiated to be more robust for images transmission and better subjective quality in reconstructed images even with high packet loss ratios.