基于像素值排序的动态混合可逆数据隐藏

Fang Ren Fang Ren, Yi-Ping Yang Fang Ren, Zhe-Lin Zhang Yi-Ping Yang
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引用次数: 0

摘要

使用像素值排序(PVO)的可逆数据隐藏(RDH)是一种成熟的技术,可通过修改每个块中的最大值和最小值将数据嵌入到覆盖图像中。本文提出了一种基于 PVO 的动态混合 RDH 方法。具体来说,一个 3×3 的块根据其复杂度和两个阈值 T1 和 T2 被分为三个等级:极平滑、平滑和粗糙。不同等级采用不同的处理算法。对于粗糙区块,为了避免降低峰值信噪比,会忽略它们。对于光滑区块,建议的方法采用区块细分算法,最多可嵌入 6 比特数据。对于极其平滑的区块,则不进行细分,而是采用中值像素预测算法来预测剩余的 8 个像素,最多可嵌入 8 比特数据。此外,本文还提出了一种新方法,通过动态选择相关像素来计算复杂度,从而提高区块分类的准确性。广泛的实验证明,所提出的方法优于现有的基于 PVO 的方法,在保持低失真度的同时提供了更大的嵌入容量。
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Dynamic Hybrid Reversible Data Hiding Based on Pixel-value-ordering
Reversible data hiding (RDH) using pixel-value-ordering (PVO) is a well-established technique for embedding data in a cover image by modifying the maximum and minimum in each block. This paper proposes a dynamic hybrid RDH method based on PVO. Specifically, a 3×3 block according to its complexity and two thresholds T1 and T2 is classified as three levels: extremely smooth, smooth, and rough. Different processing algorithms are used for different levels. For rough blocks, they are ignored to avoid reducing the peak signal-to-noise ratio. For smooth blocks, the proposed method employs a block subdivision algorithm that can embed up to 6 bits of data. For extremely smooth blocks, no subdivision is done and a median pixel prediction algorithm is used to predict the remaining eight pixels, which can embed up to 8 bits of data. Moreover, this paper presents a new method that computes complexity by dynamically selecting relevant pixels to enhance block classification accuracy. Extensive experiments demonstrate that the proposed method outperforms existing PVO-based methods, offering larger embedding capacity while maintaining low distortion.
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