Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/119558
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dc.contributor.authorPham, Quang Huy-
dc.contributor.authorDao, Nam Anh-
dc.date.accessioned2025-07-31T01:44:17Z-
dc.date.available2025-07-31T01:44:17Z-
dc.date.issued2024-
dc.identifier.issn1813-9663-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/119558-
dc.description.abstractUsing various image characteristics as a secret key, the cryptanalytic watermarking method is known for enhancing the resilience of authentication systems and protecting against forgery attempts when concealing information within a host image. This study introduces a new approach that leverages saliency features to establish a secret key, subsequently utilizing this key as a parameter for embedding and extracting watermarks. Despite the alteration of image features during watermark embedding, we suggest employing learning techniques in conjunction with saliency models to ensure the robustness of watermark extraction. The proposed image watermarking technique incorporates SVM learning and multiple saliency models. Our findings demonstrate the effectiveness of the cryptanalytic watermarking method in maintaining the watermark's invisibility and stability. The benefits of the saliency feature-based approach for anti-forgery are evident through experiments conducted on a standard dataset.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesJournal of Computer Science and Cybernetics;Vol.40, No.03 .- P.219-231-
dc.subjectImage watermarkingvi_VN
dc.subjectAnti-forgeryvi_VN
dc.subjectSaliencyvi_VN
dc.subjectLearningvi_VN
dc.titleA new approach to anti-forgery using saliency guided image watermarkingvi_VN
dc.typeArticlevi_VN
Appears in Collections:Tin học và Điều khiển học (Journal of Computer Science and Cybernetics)

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