Visual Saliency Model-Based Image Watermarking with Laplacian Distribution
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 facto...
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MDPI AG
2018-09-01
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Online Access: | http://www.mdpi.com/2078-2489/9/9/239 |
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author | Hongmei Liu Jinhua Liu Mingfeng Zhao |
author_facet | Hongmei Liu Jinhua Liu Mingfeng Zhao |
author_sort | Hongmei Liu |
collection | DOAJ |
description | 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. |
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institution | Directory Open Access Journal |
issn | 2078-2489 |
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spelling | doaj.art-aaf73489e41b4b979a77578d62f2a1ac2022-12-21T23:39:08ZengMDPI AGInformation2078-24892018-09-019923910.3390/info9090239info9090239Visual Saliency Model-Based Image Watermarking with Laplacian DistributionHongmei Liu0Jinhua Liu1Mingfeng Zhao2School of Digital Media & Creative Design, Sichuan University of Media and Communications, Chengdu 611745, ChinaSchool of Mathematics and Computer Science, ShangRao Normal University, Shangrao 334001, ChinaChina Mobile Group Design Institute Co., Ltd. Sichuan Branch, Chengdu 610045, ChinaTo 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.http://www.mdpi.com/2078-2489/9/9/239multiplicative watermarkingvisual saliencyadaptive strength factorLaplacian distributionwavelet transform |
spellingShingle | Hongmei Liu Jinhua Liu Mingfeng Zhao Visual Saliency Model-Based Image Watermarking with Laplacian Distribution Information multiplicative watermarking visual saliency adaptive strength factor Laplacian distribution wavelet transform |
title | Visual Saliency Model-Based Image Watermarking with Laplacian Distribution |
title_full | Visual Saliency Model-Based Image Watermarking with Laplacian Distribution |
title_fullStr | Visual Saliency Model-Based Image Watermarking with Laplacian Distribution |
title_full_unstemmed | Visual Saliency Model-Based Image Watermarking with Laplacian Distribution |
title_short | Visual Saliency Model-Based Image Watermarking with Laplacian Distribution |
title_sort | visual saliency model based image watermarking with laplacian distribution |
topic | multiplicative watermarking visual saliency adaptive strength factor Laplacian distribution wavelet transform |
url | http://www.mdpi.com/2078-2489/9/9/239 |
work_keys_str_mv | AT hongmeiliu visualsaliencymodelbasedimagewatermarkingwithlaplaciandistribution AT jinhualiu visualsaliencymodelbasedimagewatermarkingwithlaplaciandistribution AT mingfengzhao visualsaliencymodelbasedimagewatermarkingwithlaplaciandistribution |