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New high-performance reversible data hiding method for VQ indices based on improved locally adaptive coding scheme

机译:基于改进的局部自适应编码方案的VQ索引高性能可逆数据隐藏新方法

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摘要

In this paper, a new high-performance reversible data hiding method for vector quantization (VQ) indices is proposed. The codebook is firstly sorted using the unidirectional static distance-order technique to improve the correlation among the neighboring indices. The two-dimensional structure of image and the high correlation among the neighboring blocks are used to update the self-organized list L in the improved locally adaptive coding scheme (ILAS). Then a new embedding rule according to the complexity of the region at which the current block locates and the position of current block index in the list L is proposed to obtain a better embedding capacity. The experimental results demonstrate that our proposed method has a better performance in terms of compression rate, embedding capacity and embedding rate compared with the related data hiding methods. (C) 2015 Elsevier Inc. All rights reserved.
机译:本文提出了一种新的高性能向量量化(VQ)索引可逆数据隐藏方法。首先使用单向静态距离顺序技术对码本进行分类,以改善相邻索引之间的相关性。在改进的局部自适应编码方案(ILAS)中,图像的二维结构和相邻块之间的高相关性被用于更新自组织列表L。然后根据当前块所在区域的复杂度以及列表L中当前块索引的位置,提出了一种新的嵌入规则,以获得更好的嵌入能力。实验结果表明,与相关的数据隐藏方法相比,本文提出的方法在压缩率,嵌入能力和嵌入率方面具有更好的性能。 (C)2015 Elsevier Inc.保留所有权利。

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