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Watermark Extraction Method of Omnidirectional Images Using CNN  

Moon, Won-Jun (Department of Electronic Materials Engineering, Kwangwoon University)
Seo, Young-Ho (Department of Electronic Materials Engineering, Kwangwoon University)
Kim, Dong-Wook (Department of Electronic Materials Engineering, Kwangwoon University)
Publication Information
Journal of Broadcast Engineering / v.25, no.2, 2020 , pp. 151-156 More about this Journal
In this paper, we propose a watermark extraction method of omnidirectional images using CNN (Convolutional Neural Network) to improve the extracted watermark accuracy of the previous deterministic method that based on algorithm. This CNN consists of a restoration process of extracting watermarks by correcting distortion during omnidirectional image generation and/or malicious attacks, and a classification process of classifying which watermarks are extracted watermarks. Experiments with various attacks confirm that the extracted watermarks are more accurate than the previous methods.
virtual reality; watermark; CNN; omnidirectional image;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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