Reversible data hiding: A contemporary survey of state-of-the-art, opportunities and challenges

被引:0
|
作者
Sanjay Kumar
Anjana Gupta
Gurjit Singh Walia
机构
[1] Delhi Technological University (Formerly DCE),Department of Applied Mathematics
[2] Ministry of Defense,Defense Research and Development Organization
来源
Applied Intelligence | 2022年 / 52卷
关键词
Data hiding; Lossless compression; Reversible data hiding; Histogram shifting; Difference expansion; Prediction error;
D O I
暂无
中图分类号
学科分类号
摘要
The goal of this survey is to review the state-of-the art Reversible Data Hiding (RDH) methods, classify these methods into different classes, and list out new trends in this field. RDH, in general, is a challenging problem and has potential applications in the today’s digital world. Reversible data hiding methods not only securely transfer secret data but also recover the cover media faithfully. Recently, RDH methods are mainly focused on obtaining high capacity along with tuneable quality. Although, extensive investigations in the field of reversible data hiding was carried out in the recent past, a comprehensive review of existing literature for listing out research gap and future directions has not yet been reported. In this survey, we have classified the reversible data hiding methods mainly into a) Plain domain b) Encrypted domain and also examine their pro and cons. Tabular comparison of various RDH methods has been provided considering various design and analysis aspects. Moreover, we discuss important issues related to reversible data hiding and use of benchmarked datasets along with performance metrics for evaluation of RDH methods.
引用
收藏
页码:7373 / 7406
页数:33
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