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Information 2018, 9(9), 239;

Visual Saliency Model-Based Image Watermarking with Laplacian Distribution

School of Digital Media & Creative Design, Sichuan University of Media and Communications, Chengdu 611745, China
School of Mathematics and Computer Science, ShangRao Normal University, Shangrao 334001, China
China Mobile Group Design Institute Co., Ltd. Sichuan Branch, Chengdu 610045, China
Author to whom correspondence should be addressed.
Received: 23 August 2018 / Revised: 10 September 2018 / Accepted: 15 September 2018 / Published: 19 September 2018
(This article belongs to the Section Information Processes)
PDF [1507 KB, uploaded 19 September 2018]


To improve the invisibility and robustness of the multiplicative watermarking algorithm, an adaptive image watermarking algorithm is proposed based on the visual saliency model and Laplacian distribution in the wavelet domain. The algorithm designs an adaptive multiplicative watermark strength factor by utilizing the energy aggregation of the high-frequency wavelet sub-band, texture masking and visual saliency characteristics. Then, the image blocks with high-energy are selected as the watermark embedding space to implement the imperceptibility of the watermark. In terms of watermark detection, the Laplacian distribution model is used to model the wavelet coefficients, and a blind watermark detection approach is exploited based on the maximum likelihood scheme. Finally, this paper performs the simulation analysis and comparison of the performance of the proposed algorithm. Experimental results show that the proposed algorithm is robust against additive white Gaussian noise, JPEG compression, median filtering, scaling, rotation attack and other attacks. View Full-Text
Keywords: multiplicative watermarking; visual saliency; adaptive strength factor; Laplacian distribution; wavelet transform multiplicative watermarking; visual saliency; adaptive strength factor; Laplacian distribution; wavelet transform

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Liu, H.; Liu, J.; Zhao, M. Visual Saliency Model-Based Image Watermarking with Laplacian Distribution. Information 2018, 9, 239.

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