期刊
IEEE TRANSACTIONS ON MULTIMEDIA
卷 22, 期 4, 页码 874-884出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMM.2019.2936314
关键词
Data mining; Encryption; Image restoration; Image coding; Receivers; Huffman coding; Reversible data hiding; encrypted images; privacy protection; Huffman coding
资金
- National Natural Science Foundation of China [61872003, U1636206, 61860206004]
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.
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