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Novel reversible data hiding scheme for Two-stage VQ compressed images based on search-order coding

机译:基于搜索顺序编码的两阶段VQ压缩图像可逆数据隐藏新方案

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摘要

In this paper, a novel reversible data hiding scheme for Two-stage VQ (Vector quantization) compressed images based on SOC (Search-order coding) scheme is proposed. Two-stage VQ improves VQ by obtaining better reconstructed image and generating indices with higher correlation. The difference image, as the input of Two stage VQ, is produced by employing the first codeword in state codebook and the current image block. The main idea of SOC method is exploiting the correlation of indices to derive better compression performance. The combination of SOC and data hiding can achieve both high compression rate and high embedding capacity. Since Two-stage VQ can achieve indices with higher correlation, this advantage is applied to enhance the data hiding performance. Moreover, the cover image can be reconstructed by the receiver without using any side information. To show the superiority of our proposed scheme, several state-of-the-art schemes designed for compression domain are cited for comparison.
机译:本文提出了一种基于SOC(Search-order encoding,搜索顺序编码)方案的两级VQ(矢量量化)压缩图像可逆数据隐藏方案。两阶段VQ通过获取更好的重建图像并生成具有更高相关性的索引来改善VQ。通过使用状态码本中的第一个码字和当前图像块来产生差分图像,作为两阶段VQ的输入。 SOC方法的主要思想是利用索引的相关性来获得更好的压缩性能。 SOC和数据隐藏的结合可以实现高压缩率和高嵌入能力。由于两阶段VQ可以实现具有更高相关性的索引,因此可以利用此优势来增强数据隐藏性能。而且,可以在不使用任何辅助信息的情况下由接收器重建封面图像。为了显示我们提出的方案的优越性,引用了几种针对压缩域设计的最新方案进行比较。

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