信息隐藏
计算机科学
领域(数学分析)
领域(数学)
封面(代数)
上市(财务)
数据科学
国家(计算机科学)
数据挖掘
加密
最先进的
人工智能
算法
计算机安全
图像(数学)
数学
机械工程
工程类
数学分析
经济
纯数学
财务
作者
Sanjay Kumar,Anjana Gupta,Gurjit Singh Walia
标识
DOI:10.1007/s10489-021-02789-2
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.
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