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Improved PVO-based reversible data hiding: A new implementation based on multiple histograms modification

机译:改进的基于PVO的可逆数据隐藏:一种基于多个直方图修改的新实现

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Pixel-value-ordering (PVO) technique is based on ranking the pixels within a block and often employed in reversible data hiding (RDH) to preserve the image fidelity. In this paper, an improved PVO-based algorithm is proposed to achieve a high-performance RDH. We formulate the PVO embedding as a problem of multiple histograms modification (MHM) and make two contributions. Firstly, the existing PVO-based algorithms are generalized in an MHM form and the systematic analysis of performance is offered by considering the parameter determination. Secondly, based on the new framework, an improved implementation of PVO embedding is proposed to adaptively determine the MHM manner by solving the distortion minimization of multiple histograms, which can handle different characteristics in image areas. Experimental results show the superiority of the new algorithm over the state-of-the-art methods. (C) 2016 Elsevier Inc. All rights reserved.
机译:像素值排序(PVO)技术基于对块内像素进行排序,并且经常用于可逆数据隐藏(RDH)中以保持图像保真度。本文提出了一种改进的基于PVO的算法来实现高性能的RDH。我们将PVO嵌入公式化为多个直方图修改(MHM)问题,并做出了两个贡献。首先,将现有的基于PVO的算法以MHM形式进行概括,并通过考虑参数确定来提供性能的系统分析。其次,在新框架的基础上,提出一种改进的PVO嵌入实现,通过解决多个直方图的失真最小化问题来自适应确定MHM方式,该方法可以处理图像区域中的不同特征。实验结果表明,新算法优于最新方法。 (C)2016 Elsevier Inc.保留所有权利。

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