Multiple Description Image Coding Based on Lagrangian Rate Allocation
Multiple Description Image Coding Based on Lagrangian Rate Allocation
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DOI：
10.1109/tip.2007.891152
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发表时间：
2007-03
影响因子：
10.6
通讯作者：
T. Tillo;Marco Grangetto;G. Olmo
中科院分区：
文献类型：
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作者：
T. Tillo;Marco Grangetto;G. Olmo
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。该方法假设编码数据由独立编码的块组成。最初，所有的块以两种不同的速率编码。然后将块分裂成具有相似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码块来生成两个平衡描述。对该方法进行了理论分析，并得出了最佳率失真条件。该方法被成功地应用到JPEG 2000标准和仿真结果显示了显着的性能改善相对于国家的最先进的算法。所提出的技术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
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