Reversible data hiding (RDH) continues to advance in its applicability across diverse fields,
including medical imaging, military applications, and cloud computing. In recent times, there …

Traditional reversible data hiding (RDH) focuses on enlarging the embedding payloads
while minimizing the distortion with a criterion of mean square error (MSE). Since …

In this study, we investigate advances in reversible data hiding (RDH), a critical area in the
era of widespread digital data sharing. Recognizing the inherent vulnerabilities such as …

Reversible data hiding (RDH) methods are widely used in many privacy-sensitive real-time
applications for digital images. As an efficient RDH method, prediction-error histogram …

An effective error prediction algorithm is the key to improving the embedding performance of
reversible data hiding schemes. In this paper, high-performance ridge regression predictor …

For the past few years, the data-hiding schemes are growing rapidly. Generally, data hiding
performs well on common images but it does not provide satisfying results on distortion …

Histogram-shifting (HS) embedding as a most successful reversible data hiding (RDH)
scheme is widely investigated. How to take advantage of covers' redundancyis one of the …

A reversible data hiding (RDH) method with prediction error histogram (PEH) decomposition
and hybrid dimensional histogram modification is proposed. First, a global one-dimensional …

Reversible data hiding (RDH) algorithm is developing rapidly for many years. Usually, the
histogram shifting (HS) based RDH algorithm has two main steps: Firstly, a steep difference …

In this paper, based on two-dimensional difference-histogram modification, a novel
reversible data hiding (RDH) scheme is proposed by using difference-pair-mapping (DPM) …