Open AccessA new near-lossless image information hiding algorithm with controlled hiding capacity
Author(s) -
Yi Zhang,
Quan Zhou,
Yunlong Hu,
Juan-ni Liu,
Ruihua Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012053
Subject(s) - information hiding , lossless compression , embedding , image (mathematics) , algorithm , computer science , interval (graph theory) , transmission (telecommunications) , transformation (genetics) , data transmission , range (aeronautics) , data compression , artificial intelligence , mathematics , computer hardware , telecommunications , biochemistry , chemistry , materials science , combinatorics , composite material , gene
Image information hiding technology can embed more data without increasing the amount of transmitted data. But in most cases, the information embedding rate is different for different carrier images. To increase the embedding rate, the data will be damaged. In order to improve this problem, a new near-lossless image information hiding algorithm with controlled hiding capacity is proposed, which is referred to as NLH. This method makes the pre-processed data in a specific range to facilitate information hiding by interval transformation and data mapping. According to analysis and calculation, the lossless performance of the proposed algorithm in this paper is better than the LSB algorithm. And the result of simulation shows that this method has a fixed information embedding rate (18.75%/1.5bpp) without more transmitted data, and the original image is restored losslessly or nearly losslessly with the improved transmission efficiency.