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A novel reversible image data hiding scheme based on pixel value ordering and dynamic pixel block partition

机译:基于像素值排序和动态像素块划分的新型可逆图像数据隐藏方案

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摘要

Recently, various efficient reversible data-hiding schemes based on pixel value ordering have been proposed for embedding messages into high-fidelity images. In these schemes, after dividing the cover image into equal-sized blocks, the pixels within a given block are ordered according to their values, and data embedding is achieved by modifying the maximum and minimum values of each block. For a given embedding capacity, the optimal block size is exhaustively searched so that the embedding distortion is minimized. These pixel value ordering-based schemes perform fairly well, especially for low embedding capacity. However, to obtain a larger embedding capacity, a smaller block size should be used, which usually leads to a dramatic quality degradation of the marked image. In this paper, to address this drawback and to enhance the performance of pixel value ordering-based embedding further, a novel reversible data hiding method is proposed. Instead of using equal-sized blocks, a dynamic blocking strategy is used to divide the cover image adaptively into various-sized blocks. Specifically, flat image areas are preferentially divided into smaller blocks to retain high embedding capacity, whereas rough areas are divided into larger blocks to avoid decreasing peak signal-to-noise ratio. As a result, the proposed scheme can provide a larger embedding capacity than current pixel value ordering-based schemes while keeping distortion low. The superiority of the proposed method is also experimentally verified. (C) 2015 Elsevier Inc. All rights reserved.
机译:最近,已经提出了各种基于像素值排序的有效可逆数据隐藏方案,用于将消息嵌入高保真图像中。在这些方案中,在将封面图像划分为相等大小的块后,根据给定块内的像素值对其进行排序,并通过修改每个块的最大值和最小值来实现数据嵌入。对于给定的嵌入容量,穷举搜索最佳块大小,以便最小化嵌入失真。这些基于像素值排序的方案表现良好,特别是对于低嵌入容量。但是,为了获得更大的嵌入能力,应使用较小的块大小,这通常会导致标记图像的质量显着下降。在本文中,为了解决该缺点并进一步增强基于像素值排序的嵌入性能,提出了一种新颖的可逆数据隐藏方法。代替使用大小相等的块,而是使用动态块策略将封面图像自适应地划分为各种大小的块。具体而言,优先将平面图像区域划分为较小的块,以保持较高的嵌入能力,而将粗糙区域划分为较大的块,以避免降低峰值信噪比。结果,所提出的方案可以提供比基于当前像素值排序的方案更大的嵌入能力,同时保持低失真。所提方法的优越性也在实验上得到了验证。 (C)2015 Elsevier Inc.保留所有权利。

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