文献类型：期刊文献

英文题名：Histogram shifting based reversible data hiding with multiple expansion bin pairs

作者：Xiao, Mengyao[1];Li, Xiaolong[2,3];Lu, Wei[4];Zhao, Yao[3]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China;[3]Beijing Key Lab Adv Informat Sci & Network Technol, Beijing 100044, Peoples R China;[4]Sun Yat Sen Univ, Sch Comp Sci & Engn, Minist Educ Key Lab Informat Technol, Guangdong Prov Key Lab Informat Secur Technol, Guangzhou 510006, Peoples R China

年份：2024

卷号：83

外文期刊名：DISPLAYS

收录：;EI(收录号：20241315812964);WOS:【SCI-EXPANDED(收录号:WOS:001218383100001)】；

基金：This work was supported by the National Natural Science Foundation of China (Nos. 61972031, 62372037 and 62261160653) , and the Open Project of Key Laboratory of Computing Power Network and Information Security of Ministry of Education of China under Grant Number 2023PY007.

语种：英文

外文关键词：Reversible data hiding; Histogram shifting; Capacity-distortion; Expansion bin pairs

摘要：TAs the most popular reversible data hiding (RDH) technique, histogram shifting (HS) is widely investigateddue to its efficient capacity-distortion trade-off. With a given histogram, the performance of HS-based RDHmainly depends on the selection of expansion bins. However, the determination of expansion bins, especiallyfor the case of multiple pairs of expansion bins, usually involves massive solution space and is computationallyexpensive. To efficiently optimize the embedding performance, in this paper, the HS-based RDH with multipleexpansion bin pairs (EBPs) is theoretically investigated, and some general results about the optimal EBPsare firstly derived. Based on the theoretical results, we conclude that a part of optimal EBPs can be directlydetermined without any computation burden for adaptive embedding. Then, inspired by the derived results, asimple yet efficient method to find the nearly optimal EBPs is proposed with a fairly low computational cost.Finally, the proposed method is further extended to multiple histograms based embedding for better capacity-distortion behavior. Experimental results show that the proposed method achieves better performance thansome state-of-the-art works, especially in terms of computational cost