Reversible Data Hiding for Color Images Using Channel Reference Mapping and Adaptive Pixel Prediction

Author:

He Dan12ORCID,Cai Zhanchuan1ORCID

Affiliation:

1. School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China

2. School of Artificial Intelligence, Dongguan City University, Dongguan 523109, China

Abstract

Reversible data hiding (RDH) is a technique that embeds secret data into digital media while preserving the integrity of the original media and the secret data. RDH has a wide range of application scenarios in industrial image processing, such as intellectual property protection and data integrity verification. However, with the increasing prevalence of color images in industrial applications, traditional RDH methods for grayscale images are inadequate to meet the requirements of image fidelity. This paper proposes an RDH method for color images based on channel reference mapping (CRM) and adaptive pixel prediction. Initially, the CRM mode for a color image is established based on the pixel variation correlation between the RGB channels. Then, the pixel local complexity context is adaptively selected using the CRM mode. Next, each pixel value is adaptively predicted based on the features and characteristics of adjacent pixels and reference channels, and then data is embedded by expanding the prediction error. Finally, we compare seven existing RDH algorithms on the standard image dataset and the Kodak dataset to validate the advantages of our method. The experimental results demonstrate that our approach achieves average peak signal-to-noise ratio (PSNR) values of 63.61 and 60.53 dB when embedding 20,000 and 40,000 bits of data, respectively. These PSNR values surpass those of other RDH methods. These findings indicate that our method can effectively preserve the visual quality of images even under high embedding capacities.

Funder

Science and Technology Development Fund of Macau

Zhuhai Industry-University-Research Collaboration Program

Dongguan Social Development Science and Technology Project General Project

Guangdong Province General Universities Youth Innovative Talents Projects

Dongguan City University Key Discipline

Guangdong Province University Scientific Research Projects

Publisher

MDPI AG

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