Dynamic Embedding Capacity Adjustment for Reversible Data Hiding.

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Bibliographic Details
Title:	Dynamic Embedding Capacity Adjustment for Reversible Data Hiding.
Authors:	Nujumudeen, Faizal¹ faizalnr@gmail.com, Mubarak, D. Muhammad Noorul² dmnmubarak@gmail.com, Hussain, Tarak¹ tariqsheakh2000@gmail.com
Source:	IAENG International Journal of Applied Mathematics. Jan2026, Vol. 56 Issue 1, p197-209. 13p.
Subjects:	Reversible data hiding (Computer science), Data security, Data protection software, Cryptography, Signal processing
Abstract:	Reversible data hiding (RDH) methodologies are designed to embed confidential information within a cover signal while ensuring the complete restoration of the original signal following the extraction of the concealed information, without inducing irreversible distortions. Nevertheless, modern RDH methodologies encounter numerous challenges, encompassing restricted embedding capacity and insufficient resilience against diverse forms of assaults. To remedy these shortcomings, we propose a dynamic embedding capacity adjustment mechanism for RDH. The proposed methodology adaptively regulates the volume of embedded information predicated on the attributes of the cover signal and the requisite security level. The fundamental concept entails dynamically modulating the embedding capacity across various regions of the cover signal, thereby enabling augmented data embedding in less critical zones while safeguarding essential signal characteristics in high-impact domains through edge and texture feature analysis. This methodology scrutinises the statistical properties and perceptual significance of a variety of signal components in order to assign embedding capacity more proficiently. The efficacy of this approach is appraised through a comprehensive array of innovative experiments that encompass a heterogeneous assortment of cover signals, including images, audio, and video, under varied embedding scenarios and assault conditions. This work aims to improve the embedding capacity and resilience of RDH techniques, thereby facilitating their practical applications in multimedia content protection and secure data communication. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Reversible data hiding (RDH) methodologies are designed to embed confidential information within a cover signal while ensuring the complete restoration of the original signal following the extraction of the concealed information, without inducing irreversible distortions. Nevertheless, modern RDH methodologies encounter numerous challenges, encompassing restricted embedding capacity and insufficient resilience against diverse forms of assaults. To remedy these shortcomings, we propose a dynamic embedding capacity adjustment mechanism for RDH. The proposed methodology adaptively regulates the volume of embedded information predicated on the attributes of the cover signal and the requisite security level. The fundamental concept entails dynamically modulating the embedding capacity across various regions of the cover signal, thereby enabling augmented data embedding in less critical zones while safeguarding essential signal characteristics in high-impact domains through edge and texture feature analysis. This methodology scrutinises the statistical properties and perceptual significance of a variety of signal components in order to assign embedding capacity more proficiently. The efficacy of this approach is appraised through a comprehensive array of innovative experiments that encompass a heterogeneous assortment of cover signals, including images, audio, and video, under varied embedding scenarios and assault conditions. This work aims to improve the embedding capacity and resilience of RDH techniques, thereby facilitating their practical applications in multimedia content protection and secure data communication. [ABSTRACT FROM AUTHOR]
ISSN:	19929978