Work

Reversible Data Hiding in Encrypted Images Based on Multi-MSB Prediction and Huffman Coding

Year: 2019

Type: article

Abstract: With the development of cloud storage and privacy protection, reversible data hiding in encrypted images (RDHEI) has attracted increasing attention as a technology that can: embed additional data in the image encryption domain, ensure that the embedded data can be extracted error-free, and the original image can be restored losslessly. In this paper, a high-capacity RDHEI algorithm based on multi-MSB (most significant bit) prediction and Huffman coding is proposed. At first, multi-MSB of each pixel was predicted adaptively and marked by Huffman coding in the original image. Then, the image was encrypted by a stream cipher method. At last, the vacated space can be used to embed additional data by multi-MSB substitution. Experimental results show that our method achieved higher embedding capacity while comparing with the state-of-the-art methods.

Source: IEEE Transactions on Multimedia

DOI: 10.1109/tmm.2019.2936314

Authors: Zhaoxia Yin, Youzhi Xiang, Xinpeng Zhang

Institutions: Anhui University, Fudan University

Language: English

Topic: Advanced Steganography and Watermarking Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Natural Science Foundation of China

Awards: G2231845458, G410428456, G4257199293