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Efficient Multiple-Description Image Coding Using Directional Lifting-Based Transform

机译:使用基于方向提升的变换的高效多描述图像编码

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This paper proposes an efficient two-description image coding technique. The two side descriptions of an image are generated by quincunx subsampling. The decoding from any side description is done by an interpolation process that exploits sample correlation. Although the quincunx subsampling is a natural choice for the best use of sample correlations in image multiple-description coding (MDC), each side description is not amenable to existing image coding techniques because the pixels are not aligned rectilinearly. We show how this difficulty can be overcome by an adaptive directional lifting (ADL) transform that is particularly suitable for decorrelating samples on the quincunx lattice. The ADL transform can be embedded into JPEG 2000 to construct a practical MD image encoder. Experimental results demonstrate that the proposed image MDC scheme can achieve good coding performance.
机译:本文提出了一种有效的两描述图像编码技术。图像的两个侧面描述是通过梅花形子采样生成的。任何侧面描述的解码都是通过利用样本相关性的内插过程完成的。尽管梅花形二次采样是在图像多描述编码(MDC)中最佳使用样本相关性的自然选择,但由于像素未直线对齐,因此每个侧面描述都不适合现有的图像编码技术。我们展示了如何通过自适应定向提升(ADL)转换来克服这一困难,该转换特别适合于对梅花形点阵上的样本进行去相关。可以将ADL转换嵌入JPEG 2000中,以构建实用的MD图像编码器。实验结果表明,提出的图像MDC方案可以实现良好的编码性能。

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