A new class of multiple description scalar quantizer and its application to image coding
A new class of multiple description scalar quantizer and its application to image coding
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DOI：
10.1109/lsp.2005.843764
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发表时间：
2005-03
影响因子：
3.9
通讯作者：
C. Tian;S. Hemami
中科院分区：
文献类型：
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作者：
C. Tian;S. Hemami
我们介绍了一类新的多描述标量量化器（MDSQ），这将被称为修改的MDSQ（MMDSQ）。MMDSQ的结构与Vaishampayan提出的MDSQ有根本的不同。分析表明，在高速率的平滑PDF的源，MMDSQ实现相同的性能熵约束MDSQ使用均匀的中心量化器。与MDSQ相比，MMDSQ具有更有效的中心侧失真折衷控制机制，而不需要设计和实现复杂的索引分配方案。MMDSQ的简单高效的实现使其适合于图像编码：它可以自然地并入现有的编码器，形成新的多描述编码器。这样的系统是使用现有的图像编码器构造的，并且所得到的系统的性能相比，相同的编码器，但使用Vaishampayan的MDSQ。对自然图像的仿真结果表明，基于MMDSQ的系统性能优于基于MDSQ的系统。
We introduce a new class of multiple description scalar quantizer (MDSQ), which will be referred to as the modified MDSQ (MMDSQ). The structure of MMDSQ is fundamentally different from the MDSQ proposed by Vaishampayan. Analysis shows that at high rates for sources with smooth pdfs, MMDSQ achieves the same performance as entropy-constrained MDSQ using a uniform central quantizer. Compared with MDSQ, MMDSQ features a more efficient central-side distortion tradeoff control mechanism, without requiring the design and implementation of a complicated index assignment scheme. The simple and efficient implementation of MMDSQ makes it suitable for image coding: It can be naturally incorporated into existing coders to form new multiple description coders. Such a system is constructed using an existing image coder, and the performance of the resulting system is compared to that of the same coder but using Vaishampayan's MDSQ. Simulation results on natural images reveal that the system based on MMDSQ outperforms that based on MDSQ.