Spatial-Perceptual Embedding with Robust Just Noticeable Difference Model for Color Image Watermarking

In the robust image watermarking framework, watermarks are usually embedded in the direct current (DC) coefficients in discrete cosine transform (DCT) domain, since the DC coefficients have a larger perceptual capacity than any alternating current (AC) coefficients. However, DC coefficients are also...

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Bibliographic Details
Published inMathematics (Basel) Vol. 8; no. 9; p. 1506
Main Authors Zhou, Kai, Zhang, Yunming, Li, Jing, Zhan, Yantong, Wan, Wenbo
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2020
Subjects
Algorithms
Alternating current
Coefficients
Color imagery
cross domain
Digital rights management
Digital watermarks
Direct current
Discrete cosine transform
Embedding
just-noticeable difference
logarithmic transform
Mathematical models
Measurement
Multimedia
perceptual embedding
Researchers
robust watermarking
Robustness
Watermarking
Wavelet transforms
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Summary:In the robust image watermarking framework, watermarks are usually embedded in the direct current (DC) coefficients in discrete cosine transform (DCT) domain, since the DC coefficients have a larger perceptual capacity than any alternating current (AC) coefficients. However, DC coefficients are also excluded from watermark embedding with the consideration of avoiding block artifacts in watermarked images. Studies on human vision suggest that perceptual characteristics can achieve better image fidelity. With this perspective, we propose a novel spatial–perceptual embedding for a color image watermarking algorithm that includes the robust just-noticeable difference (JND) guidance. The logarithmic transform function is used for quantization embedding. Meanwhile, an adaptive quantization step is modeled by incorporating the partial AC coefficients. The novelty and effectiveness of the proposed framework are supported by JND perceptual guidance for spatial pixels. Experiments validate that the proposed watermarking algorithm produces a significantly better performance.
ISSN:2227-7390
2227-7390
DOI:10.3390/math8091506