基于JPEG图像的模块化可逆信息隐藏方法  

Reversible data hiding method for JPEG images based on modularized optimization

作　　者：张成 欧博 廖鑫 Zhang Cheng;Ou Bo;Liao Xin(College of Computer Science and Electronic Engineering,Hunan University,Changsha 410082,China)

机构地区：[1]湖南大学信息科学与工程学院,长沙410082

出　　处：《计算机应用研究》2024年第4期1177-1183,共7页Application Research of Computers

基　　金：国家自然科学基金资助项目(U22A2030,U20A20174,61872128)。

摘　　要：当前的可逆信息隐藏方法为了寻求更好的嵌入性能,通常会基于给定的图像内容对修改模式和嵌入参数作出自适应的调整。然而,通过细化自适应程度或扩大解空间来寻找更优解时,会造成计算复杂度高、时间成本难以承受等问题。为此,提出了一种适用于JPEG图像的模块化可逆嵌入方法来提高自适应寻优的效率。通过比较不同情况下最优解的嵌入性能,对原有的解空间进行优化、筛选,从而生成一个适用于不同图像的通用修改模式集合。每一个修改模式被定义为在多直方图修改框架下的最优嵌入点集合。在嵌入时,为给定的图像内容自适应地从预设的解集中选定合适的修改模式。实验在USC-SIPI数据集上与五个具有代表性的方法进行了比较。相比于同类算法,所提算法可将峰值信噪比提升0.03~1.81 dB。对于文件大小扩展,所提算法的性能结果可比两个经典方法分别减少12.4%和5.1%。实验结果表明,相比于主流经典方法,该方法在含密图像质量和文件大小扩展方面有更好的性能表现,并能以较低的计算复杂度取得与最近的高效方法相近的自适应嵌入效果。The existing RDH methods usually determine the modification model and the embedding parameters adaptively according to the given image,in order to optimize the performance.However,the existing optimization manners will lead to the high computational complexity and the unacceptable time cost.This paper proposed a modularized RDH method for JPEG images,to improve the efficiency of the adaptive optimization.The candidate embedding solutions were defined as the existing parameter sets which were verified effective under different cases.Therefore,it generated a so-called universal modification mo-del set that was suitable for different images.Each modification model was defined as the optimal embedding points for the multiple histograms modification mechanism.During the embedding,the appropriate modification model was adaptively selected from the pre-set solution set,based on the given image.Compared with five related works on the USC-SIPI database,the peak signal-to-noise ratio(PSNR)of the proposed method can be improved 0.03~1.81 dB.In the terms of the file size increase,the results of the proposed method can reduce 12.4%and 5.1%respectively,compared with the two typical methods.The experimental results demonstrate that,the proposed method outperforms the mainstream classic methods,in the terms of the quality of the marked image and the file size preservation.Compared with the state-of-the-arts,the proposed method can achieve the similar adaptive performance,while keeping a low computational complexity.

关 键 词：可逆信息隐藏 JPEG图像 模块式优化 自适应修改 时间复杂度 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]