A High Visual Quality Color Image Reversible Data Hiding Scheme Based on B-R-G Embedding Principle and CIEDE2000 Assessment Metric

Yang Yang, Tianrui Zou, Genyan Huang, Weiming Zhang

Abstract: Reversible data hiding methods for color images are investigated because of the popularity of color images. However, the traditional RDH methods for color images only take PSNR as the assessment metric and pursue a high PSNR value. To further consider the different subjective perception in the R, G, and B channels of the color image, this paper proposes a high visual quality color image reversible data hiding scheme based on the B-R-G embedding principle and the CIEDE2000 assessment metric. In this method, a double-layer least square prediction is proposed to satisfy the sorting requirement and maintain prediction accuracy, and then the B-R-G embedding principle is proposed to improve the visual quality of the marked color images based on the different visual perception in the three channels, and finally, a one-by-one embedding method is proposed to reduce the embedding distortion by maintaining the inter channel correlation. The experimental results show that the proposed method is superior to the state-of-the-art RDH methods for color images.