arrow
Return

An Improved Reversible Data Hiding in Encrypted Image Method Based on Block Selection

delete2020-01-01
delete4
delete
OA
AI
Y
Yaomin Wang
G
Gangqiang Xiong
何文广 cover
何文广 (Wenguang He) *
DOI:10.1109/ACCESS.2020.3044568delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
For reversible data hiding in encrypted image (RDHEI), the most important problem is the conflict between reversibility and embedding capacity. Reversibility has been realized by existing methods, however, the embedding capacity is still too low for practical RDHEI applications. To settle this problem, an improved RDHEI method is proposed in this article by presenting a block selection mechanism. Since extraction error occurs on blocks from which the fluctuation function fails to identifies the flipped part, we propose to distinguish these exceptional blocks from extraction-correct-block (ECB) (i.e., pixel block from which the hidden data can be exactly extracted) and embed additional data into only ECBs. In this way the minimum block size can be adopted to pursue high capacity. To guarantee reversibility, a new self-embedding method is proposed to embed the auxiliary information into the cover image. Finally, a new fluctuation function is also proposed to provide more ECBs and thus further improve the embedding capacity. Experimental results show that the proposed method not only achieves significant improvement in capacity but also guarantees lossless data extraction and perfect image recovery.
Keywords:
Data mining
Error analysis
Cryptography
Encryption
Licenses
Feature extraction
Cloud computing
Image encryption
reversible data hiding
real reversibility
multimedia security
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

G
guangdong medical university
Scholars:
1.1W
Papers: 5.0K
Citations: 114
Cited Papers

Cited Papers

The Inverse Problem of Linear Lagrangian Dynamics
err2018-01-04
err0
errOAAI
errRubens Goncalves Salsa; Daniel T. Kawano; Fai Ma; George Leitmann
errShare
errSave
errShare
errSave
Animal Models of Depression and Neuroplasticity: Assessing Drug Action in Relation to Behavior and Neurogenesis
err2011-12-08
err0
PREAI
errYing Xu; Philip A. Barish; Jianchun Pan; William O. Ogle; James M. O’Donnell
errShare
errSave
errShare
errSave
A Robust and Improved Visual Quality Data Hiding Method for HEVC
err2018-01-01
err29
errOAAI
errLiu, Yunxia; Zhao, Hongguo; Liu, Shuyang; Feng, Cong; Liu, Si
errShare
errSave
Techniques, Instruments, Cases
err1975-05-01
err0
PREAI
errRandall T. Jose; James H. Butler
errShare
errSave
Reversible Data Hiding With Image Contrast Enhancement Based on Two-Dimensional Histogram Modification
err2019-01-01
err40
errOAAI
errWu, Hao-Tian; Mai, Weiqi; Meng, Shuyi; Cheung, Yiu-Ming; Tang, Shaohua
errShare
errSave
researcher View more