Survey of reversible data hiding: Statistics, current trends, and future outlook

被引:0
作者
Gandhi, Sonal [1 ]
Kumar, Rajeev [1 ]
机构
[1] Delhi Technol Univ, Dept Comp Sci & Engn, Delhi 110042, India
关键词
Reversible data hiding; Prediction; Embedding; Review; Comprehensive; Deep learning; RDHEI; Contrast enhancement; Contents; DISCRETE WAVELET TRANSFORM; IMAGE WATERMARKING; CONTRAST ENHANCEMENT; SCHEME; ALGORITHM; REGRESSION; EXPANSION; SMVQ; PVO;
D O I
10.1016/j.csi.2025.104003
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the era of increasing digital media storage and transmission over networks, reversible data hiding (RDH) has evolved as a prominent area of research mitigating information security risk. To study the evolution of research, highlight its achievements over the years, and provide future prospects, this paper presents an extensive review of RDH utilizing the dataset extracted from one of the most popular and exhaustive databases, Web of Science. The study aims to first perform quantitative analysis that includes trend analysis, citation analysis, prominent authors and organizations, and geographical coverage, along with qualitative analysis focusing on key research areas and future prospects within RDH. The study further provides a structured view of sub-technologies within RDH, along with the key contributors and their proposed techniques that have led to the evolution of RDH over the years. Next, we provide a comprehensive review of some of the prominent works in each of the subtechnologies of RDH. Finally, several key research directions, identified based on current research trends and early-stage problems and motivations, are discussed. Overall, the proposed study provides valuable insights into the evolution, key milestones, current state, and future prospects of RDH, serving as a guide for the research community.
引用
收藏
页数:25
相关论文
共 121 条
[81]  
Qin JQ, 2020, LECT NOTES COMPUT SC, V12305, P527, DOI 10.1007/978-3-030-60633-6_44
[82]   High-Precision Reversible Data Hiding Predictor: UCANet [J].
Rao, Haiyang ;
Weng, Shaowei ;
Yu, Lifang ;
Li, Li ;
Cao, Gang .
IEEE SIGNAL PROCESSING LETTERS, 2024, 31 :2155-2159
[83]   Reversible Watermarking Algorithm Using Sorting and Prediction [J].
Sachnev, Vasiliy ;
Kim, Hyoung Joong ;
Nam, Jeho ;
Suresh, Sundaram ;
Shi, Yun Qing .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2009, 19 (07) :989-999
[84]   Comparative analysis of integer wavelet transforms in reversible data hiding using threshold based histogram modification [J].
Shaik, Ahmad ;
Thanikaiselvan, V. .
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2021, 33 (07) :878-889
[85]   Reversible data hiding with enhancing contrast and preserving brightness in medical image [J].
Shi, Ming ;
Yang, Yang ;
Meng, Jian ;
Zhang, Weiming .
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2022, 70
[86]   Reversible Data Hiding: Advances in the Past Two Decades [J].
Shi, Yun-Qing ;
Li, Xiaolong ;
Zhang, Xinpeng ;
Wu, Hao-Tian ;
Ma, Bin .
IEEE ACCESS, 2016, 4 :3210-3237
[87]  
Shim HJ, 2004, IEEE IMAGE PROC, P2195
[88]   Local-Moment-Driven Robust Reversible Data Hiding [J].
Singh, Yash Veer ;
Khan, Shadab ;
Shukla, Santosh Kumar ;
Jung, Ki-Hyun .
APPLIED SCIENCES-BASEL, 2022, 12 (22)
[89]   A Highly Robust Reversible Watermarking Scheme Using Embedding Optimization and Rounded Error Compensation [J].
Tang, Yichao ;
Wang, Shuai ;
Wang, Chuntao ;
Xiang, Shijun ;
Cheung, Yiu-Ming .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 33 (04) :1593-1609
[90]   Expansion embedding techniques for reversible watermarking [J].
Thodi, Diljith M. ;
Rodriguez, Jeffrey J. .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007, 16 (03) :721-730