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Multiple Description Wavelet-Based Image Coding Using Iterated Function System

机译:迭代函数系统的基于多描述小波的图像编码

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摘要

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.
机译:最近的文献强调了多描述编码(MDC)作为解决在易出错的网络上进行弹性图像编码问题的有前途的方法,在易错的网络上会发生丢包。在本文中,我们介绍了一种使用分形的新颖的基于多描述小波的图像编码方案。该方案利用了分形的能力,即描述小波系数块之间不同分辨率尺度的相似度(冗余度)。当丢失一个描述时,可以通过拟议的迭代功能系统(IFS)恢复方案来重建丢失的信息,该方案具有相似性和一些引入的信息。与参考方法相比,实验结果表明该方案可以取得较好的性能。此外,即使在高丢包率的情况下,也证明它对于图像传输更鲁棒,并且在重建图像中具有更好的主观质量。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2013年第2期|924274.1-924274.12|共12页
  • 作者

    Jie Yang;

  • 作者单位

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

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  • 正文语种 eng
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