Feature-Oriented Multiple Description Wavelet-Based Image Coding
Feature-Oriented Multiple Description Wavelet-Based Image Coding
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DOI：
10.1109/tip.2006.884935
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发表时间：
2007
影响因子：
10.6
通讯作者：
Yilong Liu;S. Oraintara
中科院分区：
文献类型：
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作者：
Yilong Liu;S. Oraintara
我们解决了出现数据包丢失的弹性图像编码的弹性图像编码的问题。最近的文献强调了多重描述编码（MDC）是解决此问题的有前途的方法。在本文中，我们介绍了一种基于小波的多重描述图像编码器，称为面向特征的MDC（FO-MDC）。提出的多重描述（MD）编码器利用小波系数的统计数据，并识别对数据包丢失敏感的样品的子集。在速率分数意义上，使用树木预转和量化器选择之间的关节优化是为了分配更多的敏感系数。与最新的MD标量量化编码器相比，提出的FO-MDC产生了更有效的中央侧扭曲权衡控制机制。此外，即使具有较高的数据包损耗率，也证明它对于图像传输也更加可靠，这使其适合于保护多媒体流在数据包搜索通道上
We address the problem of resilient image coding over error-prone networks where packet losses occur. Recent literature highlights the multiple description coding (MDC) as a promising approach to solve this problem. In this paper, we introduce a novel wavelet-based multiple description image coder, referred to as the feature-oriented MDC (FO-MDC). The proposed multiple description (MD) coder exploits the statistics of the wavelet coefficients and identifies the subsets of samples that are sensitive to packet loss. A joint optimization between tree-pruning and quantizer selection in the rate-distortion sense is used in order to allocate more bits to these sensitive coefficients. When compared with the state-of-the-art MD scalar quantization coder, the proposed FO-MDC yields a more efficient central-side distortion tradeoff control mechanism. Furthermore, it proves to be more robust for image transmission even with high packet loss ratios, which makes it suitable for protecting multimedia streams over packet-erasure channels