Open AccessNovel distortion free and histogram based data hiding scheme
Author(s) -
Aghababaiyan Keyvan,
Mortazavi Amir S.
Publication year - 2020
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2018.6428
Subject(s) - information hiding , histogram , pixel , embedding , distortion (music) , peak signal to noise ratio , computer science , histogram matching , artificial intelligence , key (lock) , digital watermarking , computer vision , image (mathematics) , pattern recognition (psychology) , computer security , amplifier , computer network , bandwidth (computing)
In the most data hiding methods, the cover media is entirely distorted and it cannot be recovered when the secretive data is extracted. However, in some applications, such as medical imaging, military imaging and law enforcement, even a slight modification in the cover image is impermissible. Therefore, reversible data hiding schemes have proposed as a solution of this issue, recently. Histogram based embedding schemes are among wide investigated reversible data hiding schemes owing to the high quality of the marked images. In histogram based embedding techniques, construction of histogram greatly affects the embedding capacity and the distortion performance of schemes. In this study, the authors propose a novel reversible data hiding scheme for grey scale images. In this method, a new histogram is generated according to the differences between pixels and their neighbouring pixels values. The proposed scheme can achieve higher embedding capacity than other existing reversible data hiding algorithms in the literature by considering the same value of peak signal‐to‐noise ratio. Experimental and analytical results show that this scheme is successfully employed for data hiding in a wide range of images.