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High-fidelity dual-image reversible data hiding via prediction-error shift

机译:通过预测误差移位隐藏高保真双图像可逆数据

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摘要

Dual-image reversible data hiding (RDH) technology has been an active research area and became an essential part of information security because of its unique advantages in security.embedding capacity and visual quality.For a dual-image RDH strategy.message data is embedded into a cover image to generate two marked images with similar visual quality.In this study.we propose an improved dual-image RDH algorithm based on a prediction-error shift strategy.As a more compact image feature.prediction error is exploited to make better use of the redundancy of image content with the maximum distortion of one.A bidirectional-shift strategy is used to extend the shiftable positions in the central zone of the allowable coordinates.Next.we design a new shiftable-position model for the prediction error corresponding to the peak value in the prediction-error histogram to embed more message bits without causing more distortion.The experimental results demonstrate the efficacy and high-fidelity of the proposed method.especially in relatively low embedding rate circumstances.The average peak signal-to-noise ratio gain of the proposed method on eight standard test images is at least 1.15 dB for the given embedding capacity of 50,000 bits compared with other state-of-the-art dual-image RDH methods.
机译:双映像可逆数据隐藏(RDH)技术一直是一个活跃的研究区,并成为信息安全的重要组成部分,因为它在安全性和视觉质量方面具有独特的优势。对于双图像RDH策略.Message数据嵌入进入封面图像以生成具有相似视觉质量的两个标记图像。本研究。我们提出了一种基于预测误差换策略的改进的双图像RDH算法.AS一个更紧凑的图像特征。专利误差被剥削以更好使用冗余的图像内容与ony.a双向换档策略的最大失真使用来扩展允许的坐标中央区域中的可移动位置.Next.We设计一种对应的预测误差的新移动位置模型在预测误差直方图中的峰值嵌入更多消息比特而不会导致更多的失真。实验结果表明了效果和高保真度提出的方法。在相对较低的嵌入率的情况下。八个标准测试图像上提出的方法的平均峰值信噪比比增益至少为1.15 dB,与其他状态相比,给定的嵌入容量为50,000位。最艺术双重图像RDH方法。

著录项

  • 来源
    《Signal processing》 |2020年第5期|16.1-16.13|共13页
  • 作者单位

    School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin 541004 China;

    School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai 200093 China;

    Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin 541004 China;

    School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Reversible data hiding; Dual images; Prediction error; High fidelity;

    机译:可逆数据隐藏;双重图像;预测误差;高保真度;

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