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.
Highlights
Transmission of compressed images over unreliable networks has proven to be a significant challenge
The main problem is the rapid degradation in the reconstructed image quality due to packet loss, which is unavoidable on the networks, such as the Internet
iterated function system (IFS) in wavelet domain is constructed as a description, and the difference between the collage and original wavelet coefficients is quantized and entropy coded in order to enhance the coding performance
Summary
Transmission of compressed images over unreliable networks has proven to be a significant challenge. One of the most classical methods is multiple description scalar quantization (MDSQ) [2], which was successfully applied in image coding [3]. A feature-oriented multiple description wavelet-based image coding was recently presented in [6]. The most MD coding approaches are based on traditional coding methods, such as quantization, JPEG, and wavelet These methods always exploit the redundancy in the neighboring pixels or coefficients. Fractal coding (FC) is an intensively studied image coding method during recent decades [9,10,11], which can exploit this kind of redundancy. IFS in wavelet domain is constructed as a description, and the difference between the collage and original wavelet coefficients is quantized and entropy coded in order to enhance the coding performance.
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