کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
538395 1450148 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An integrated visual saliency-based watermarking approach for synchronous image authentication and copyright protection
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
An integrated visual saliency-based watermarking approach for synchronous image authentication and copyright protection
چکیده انگلیسی

This paper proposes an integrated visual saliency-based watermarking approach, which can be used for both synchronous image authentication and copyright protection. Firstly, regions of interest (ROIs), which are not in a fixed size and can present the most important information of one image, would be extracted automatically using the proto-object based saliency attention model. Secondly, to resist common signal processing attacks, for each ROI, an improved quantization method is employed to embed the copyright information into its DCT coefficients. Finally, the edge map of one ROI is chosen as the fragile watermark, and is then embedded into the DWT domain of the watermarked image to further resist the tampering attacks. Using ROI-based visual saliency as a bridge, this proposed method can achieve image authentication and copyright protection synchronously, and it can also preserve much more robust information. Experimental results on standard benchmark demonstrate that compared with the state-of-the-art watermarking scheme, the proposed method is more robust to white noise, filtering and JPEG compression attacks. Furthermore, it also shows that the proposed method can effectively detect tamper and locate forgery.


► We propose a visual saliency-based watermarking approach used for synchronous image authentication and copyright protection.
► ROIs are extracted from images automatically.
► Copyright is embedded into these ROIs to increase the robustness.
► The edge map of ROI is embedded into watermarked image to detect and locate tamper.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 26, Issues 8–9, October 2011, Pages 427–437
نویسندگان
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