• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2023, Vol. 45 ›› Issue (03): 454-461.

• 计算机网络与信息安全 • 上一篇    下一篇

基于预测多对非对称直方图的可逆信息隐藏

胡晨莹,赵琰   

  1. (上海电力大学电子与信息工程学院,上海 201306)
  • 收稿日期:2022-10-31 修回日期:2022-12-15 接受日期:2023-03-25 出版日期:2023-03-25 发布日期:2023-03-22
  • 基金资助:
    国家自然科学基金(61802250);上海市科委部分地方院校能力建设项目(20020500700)

Reversible data hiding based on prediction of multiple pairs of asymmetric histograms

HU Chen-ying,ZHAO Yan   

  1. (College of Electronic and Information Engineering,Shanghai University of Electric Power,Shanghai 201306,China)
  • Received:2022-10-31 Revised:2022-12-15 Accepted:2023-03-25 Online:2023-03-25 Published:2023-03-22

摘要: 非对称预测误差直方图算法能够生成较0值偏左与较0值偏右的2个非对称直方图,在嵌入过程中,2个直方图向相反方向移动,使得部分被修改过的像素能够还原为原始像素,即发生补偿还原反应。针对该特点,结合多对直方图平移算法,生成2对非对称直方图,通过2轮非对称直方图嵌入即共4层数据嵌入,提高被修改过的像素发生补偿还原的概率。此外,通过研究数据嵌入后与原始图像峰值点和像素值的变化范围,将所有图像块分类,优先选取可嵌入概率高的图像块,减少不必要的像素修改。与其他算法相比,所提算法利用非对称直方图算法的补偿还原反应,并结合图像本身像素值分布特点,减少像素的无效修改,较好地保证了载密图像的质量。

关键词: 可逆信息隐藏, 非对称直方图, 多直方图, 预测误差, 直方图平移

Abstract: The asymmetric prediction error histogram algorithm can generate two asymmetric histograms that are left by the value of 0 and right by the value of 0. In the embedding process, the two histograms move in opposite directions, so that some modified pixels can be restored to the original pixels, that is, compensation and original reaction will occur. In view of this feature, the algorithm in this paper combines the multi-pair histogram translation algorithm to generate two pairs of asymmetric histograms. Through two rounds of asymmetric histogram embedding, i.e., four layers of data embedding, the probability of compensation restoration of modified pixels is increased. In addition, by studying the change range of peak points and pixel values of the original image after data embedding, all image blocks are classified, and the image blocks with high embedding probability are preferentially selected to reduce unnecessary pixel modification. Compared with other algorithms, this paper makes full use of the compensation and restoration reaction of the asymmetric histogram algorithm, combines the characteristics of the image pixel value distribution to reduce the invalid modification of pixels, and better ensures the quality of the dense image.

Key words: reversible data hiding, asymmetric histogram, multi-pair histogram, prediction error, histogram shifting