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Multiple Description Image Coding Based on Lagrangian Rate Allocation

机译:基于拉格朗日速率分配的多描述图像编码

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In this paper, a novel multiple description coding technique is proposed, based on optimal Lagrangian rate allocation. The method assumes the coded data consists of independently coded blocks. Initially, all the blocks are coded at two different rates. Then blocks are split into two subsets with similar rate distortion characteristics; two balanced descriptions are generated by combining code blocks belonging to the two subsets encoded at opposite rates. A theoretical analysis of the approach is carried out, and the optimal rate distortion conditions are worked out. The method is successfully applied to the JPEG 2000 standard and simulation results show a noticeable performance improvement with respect to state-of-the art algorithms. The proposed technique enables easy tuning of the required coding redundancy. Moreover, the generated streams are fully compatible with Part 1 of the standard
机译:本文提出了一种基于最优拉格朗日速率分配的多描述编码技术。该方法假定编码数据由独立编码的块组成。最初,所有块都以两种不同的速率编码。然后,将块分成具有相似速率失真特性的两个子集。通过组合属于以相反速率编码的两个子集的代码块,可以生成两个平衡的描述。对该方法进行了理论分析,得出了最佳速率失真条件。该方法已成功应用于JPEG 2000标准,并且仿真结果显示,相对于最新算法,性能有了显着提高。所提出的技术使得能够容易地调整所需的编码冗余。此外,生成的流与标准的第1部分完全兼容

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