Reversible data hiding based on reducing invalid shifting of pixels in histogram shifting

TL;DR

This paper introduces a reversible data hiding scheme that leverages image texture to minimize invalid pixel shifting during histogram shifting, resulting in higher capacity and improved image quality.

Contribution

It proposes a novel RDH method that uses image texture and sub-image division to reduce distortion and increase embedding capacity.

Findings

Higher embedding capacity compared to existing schemes

Better stego-image quality demonstrated through experiments

Effective reduction of invalid shifting pixels in histogram shifting

Abstract

In recent years, reversible data hiding (RDH), a new research hotspot in the field of information security, has been paid more and more attention by researchers. Most of the existing RDH schemes do not fully take it into account that natural image's texture has influence on embedding distortion. The image distortion caused by embedding data in the image's smooth region is much smaller than that in the unsmooth region, essentially, it is because embedding additional data in the smooth region corresponds to fewer invalid shifting pixels (ISPs) in histogram shifting. Thus, we propose a RDH scheme based on the images texture to reduce invalid shifting of pixels in histogram shifting. Specifically, first, a cover image is divided into two sub-images by the checkerboard pattern, and then each sub-image's fluctuation values are calculated. Finally, additional data can be embedded into the region of sub-images with smaller fluctuation value preferentially. The experimental results demonstrate that the proposed method has higher capacity and better stego-image quality than some existing RDH schemes.