Minimum Structural Similarity Distortion for Reversible Data Hiding  

作　　者：XU Jiajia ZHANG Weiming JIANG Ruiqi YU Nenghai HU Xiaocheng 

机构地区：[1]University of Science and Technology of China, Hefei 230026, China

出　　处：《Chinese Journal of Electronics》2018年第3期582-587,共6页电子学报（英文版）

基　　金：the Natural Science Foundation of China(No.61170234,No.61572452);the Strategic Priority Research Program through the Chinese Academy of Sciences(No.XDA06030601)

摘　　要：Until now, most Reversible data hiding(RDH) techniques have been evaluated by Peak signal-tonoise ratio(PSNR), which based on Mean squared error(MSE). Unfortunately, MSE turns out to be an extremely poor measure when the purpose is to predict perceived signal fidelity or quality. The Structural similarity(SSIM)index has gained widespread popularity as an alternative motivating principle for the design of image quality measures. How to utilize the characterize of SSIM to design RDH algorithm is very critical. We propose an optimal RDH algorithm under structural similarity constraint. We deduce the metric of the structural similarity constraint,and further we prove it does not hold Non-crossing-edges(NCE) property. We construct the rate-distortion function of optimal structural similarity constraint, which is equivalent to minimize the average distortion for a given embedding rate, and then we can obtain the optimal transition probability matrix under the structural similarity constraint. Experiments show that our proposed method can be used to improve the performance of previous RDH schemes evaluated by SSIM.Until now, most Reversible data hiding（RDH） techniques have been evaluated by Peak signal-tonoise ratio（PSNR）, which based on Mean squared error（MSE）. Unfortunately, MSE turns out to be an extremely poor measure when the purpose is to predict perceived signal fidelity or quality. The Structural similarity（SSIM）index has gained widespread popularity as an alternative motivating principle for the design of image quality measures. How to utilize the characterize of SSIM to design RDH algorithm is very critical. We propose an optimal RDH algorithm under structural similarity constraint. We deduce the metric of the structural similarity constraint,and further we prove it does not hold Non-crossing-edges（NCE） property. We construct the rate-distortion function of optimal structural similarity constraint, which is equivalent to minimize the average distortion for a given embedding rate, and then we can obtain the optimal transition probability matrix under the structural similarity constraint. Experiments show that our proposed method can be used to improve the performance of previous RDH schemes evaluated by SSIM.

关 键 词：Reversible data hiding Structural similarity Recursive code construction 

分 类 号：TP309[自动化与计算机技术—计算机系统结构] TP391.41[自动化与计算机技术—计算机科学与技术]