QuatJND: A Robust Quaternion JND Model for Color Image Watermarking

Robust quantization watermarking with perceptual JND model has made a great success for image copyright protection. Generally, either restores each color channel separately or processes the vector representation from three color channels with the traditional monochromatic model. And it cannot make f...

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Bibliographic Details
Published in:Entropy (Basel, Switzerland) Switzerland), 2022-07, Vol.24 (8), p.1051
Main Authors: Wan, Wenbo, Li, Wenqing, Liu, Wenxiu, Diao, Zihan, Zhan, Yantong
Format: Article
Language:English
Subjects:
Algorithms
Channels
Color imagery
Color vision
colorfulness
contrast masking
Domains
Fourier transforms
Image contrast
Image processing
Innovations
Measurement
Multimedia
quaternion JND
Quaternions
Representations
Robust statistics
Robustness
Watermarking
Watermarks
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Summary:Robust quantization watermarking with perceptual JND model has made a great success for image copyright protection. Generally, either restores each color channel separately or processes the vector representation from three color channels with the traditional monochromatic model. And it cannot make full use of the high correlation among RGB channels. In this paper, we proposed a robust quaternion JND Model for color image watermarking (QuatJND). In contrast to the existing perceptual JND models, the advantage of QuatJND is that it can integrate quaternion representation domain and colorfulness simultaneously, and QuatJND incorporates the pattern guided contrast masking effect in quaternion domain. On the other hand, in order to efficiently utilize the color information, we further develop a robust quantization watermarking framework using the color properties of the quaternion DCT coefficients in QuatJND. And the quantization steps of each quaternion DCT block in the scheme are optimal. Experimental results show that our method has a good performance in term of robustness with better visual quality.
ISSN:1099-4300
1099-4300
DOI:10.3390/e24081051