A reversible data hiding algorithm based on image region division

Lingyi Chi; Liuping Feng; Yangquan Zhou; Guokai Wang

doi:10.1117/12.3008020

14 November 2023 A reversible data hiding algorithm based on image region division

Lingyi Chi, Liuping Feng, Yangquan Zhou, Guokai Wang

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129341W (2023) https://doi.org/10.1117/12.3008020
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

Many reversible data hiding algorithms only scan images in a fixed sequence, leading to low embedding capacity and poor stego-image quality. This paper proposes an adaptive algorithm that divides images into smooth and texture regions based on complexity, and uses different embedding algorithms for each region. Three predictors are used to generate asymmetric histograms and increase embedding capacity through two rounds of embedding in smooth regions. Pixel value ordering (PVO) is used for embedding fewer data in texture regions to maintain image quality. Experimental results show that the algorithm has high embedding capacity and low visual distortion.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lingyi Chi, Liuping Feng, Yangquan Zhou, and Guokai Wang "A reversible data hiding algorithm based on image region division", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129341W (14 November 2023); https://doi.org/10.1117/12.3008020

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available