Open AccessA High Efficient FEMD-Based Data Hiding Algorithm
Author(s) -
Jia Liu,
Qian Zhou,
Yi Hu,
Jin Wei
Publication year - 2019
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 - 10.1088/1742-6596/1335/1/012014
Subject(s) - information hiding , embedding , key (lock) , image (mathematics) , pixel , cover (algebra) , computer science , algorithm , function (biology) , image quality , mathematics , artificial intelligence , mechanical engineering , computer security , evolutionary biology , engineering , biology
This paper proposes a high efficient FEMD-based data hiding method suitable for various complexity images. The method uses FEMD's extraction function to map a cover pixel (8 bits) and a randomizable auxiliary pixel (log 2 n +1 bits) into a data of n 2 -ary notational system, which can significantly improve the data hiding efficiency. When n =2, the embedding efficiency of FEMD is 1/8, and that of our method is 1/5, which is increased by 60% and the image quality of the two methods is almost the same. In other words, our method will have higher image quality when the embedding rate of the two methods is same. When n =4 or 8 and the dada embedding efficiency is equal, the PSNR of this method is increased by 1.3 dB or 1.1 dB compared with FEMD. In addition, the auxiliary pixel as a key can improve the security of our data hiding algorithm.