Open AccessLogarithmic STDM watermarking using visual saliency‐based JND model
Author(s) -
Wan Wenbo,
Liu Ju,
Sun Jiande,
Ge Chuan,
Nie Xiushan
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2014.4329
Subject(s) - digital watermarking , logarithm , computer science , distortion (music) , robustness (evolution) , artificial intelligence , visibility , human visual system model , computer vision , just noticeable difference , image (mathematics) , algorithm , pattern recognition (psychology) , mathematics , optics , mathematical analysis , amplifier , computer network , biochemistry , chemistry , physics , bandwidth (computing) , gene
Owing to the validity of measuring the visual visibility for image distortion, just noticeable distortion (JND) has been widely used in the quantisation‐based watermarking framework. However, the existing JND model treats every region in the image with an equal attention level. Visual saliency, which reflects the visual attention, is proposed to improve the perceptual JND model. Based on the improved model, a logarithmic spread transform dither modulation (STDM) watermarking scheme is proposed. Simulations show that the proposed watermarking scheme with the improved JND model has superior robustness compared with existing STDM schemes.