2020
DOI: 10.3390/app10217494
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Screen-Cam Robust Image Watermarking with Feature-Based Synchronization

Abstract: The screen-cam process, which is taking pictures of the content displayed on a screen with mobile phones or cameras, is one of the main ways that image information is leaked. However, traditional image watermarking methods are not resilient to screen-cam processes with severe distortion. In this paper, a screen-cam robust watermarking scheme with a feature-based synchronization method is proposed. First, the distortions caused by the screen-cam process are investigated. These distortions can be summarized into… Show more

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Cited by 20 publications
(18 citation statements)
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“…To show the competitiveness of our approach, we compare it with our previous work [ 24 ] as well as schemes in [ 13 , 21 , 26 , 27 , 28 , 29 , 34 , 44 , 45 ] in terms of imperceptibility and robustness.…”
Section: Experimental Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…To show the competitiveness of our approach, we compare it with our previous work [ 24 ] as well as schemes in [ 13 , 21 , 26 , 27 , 28 , 29 , 34 , 44 , 45 ] in terms of imperceptibility and robustness.…”
Section: Experimental Resultsmentioning
confidence: 99%
“…Table A4 shows the results of robustness compared to the scheme of Chen et al [ 45 ] in terms of BER. The comparison has been made for three different images Lena, Mandrill, and Peppers.…”
Section: Experimental Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Among the research papers, four of them focus on new watermarking applications, including watermarking for 3D models [5], a watermarking scheme robust against screencam attacks [6], a watermarking protocol based on blockchain [7], and a watermarking framework to protect Deep Learning (DL) models [8].…”
mentioning
confidence: 99%
“…Chen et al [6] present a screen-cam robust image watermarking scheme using featurebased synchronization. Taking pictures of a screen with mobile phones or cameras is one of the main methods to leak image information.…”
mentioning
confidence: 99%