This paper proposes a high-capacity reversible data hiding in encrypted images (RDH-EI) method that combines edge-directed prediction (EDP) and multi-MSB self-prediction. The system aims to securely embed additional data within encrypted grayscale images without compromising the original image quality. The proposed method involves two main participants: the data owner and the data user, with an admin responsible for authorizing user access. The data owner encrypts the image, while the data user can request the image and retrieve it only after OTP verification. The method utilizes advanced algorithms, such as MSB prediction and adaptive error embedding, to enhance data embedding capacity and improve encryption security. Experimental results demonstrate that the method achieves high embedding rates, security, and lossless image recovery, outperforming state-of-the-art RDH-EI techniques. This technique ensures confidentiality and integrity while providing a reversible process for image recovery and data extraction.

Keywords

Reversible Data Hiding, Encrypted Images, Edge-Directed Prediction, Multi-MSB Self-Prediction, Data Embedding, Image Encryption, Data Security, OTP Verification, Image Recovery, Reversible Data Hiding in Encrypted Domain (RDH-EI).