Loading...

Extracting Appropriate Features for Zero Watermarking of Similar Images for Ownership Protection

Ehsaee, Shahryar | 2014

746 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45934 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Jamzad, Mansour
  7. Abstract:
  8. Digital watermarking is an efficacious technique to protect the copyright and ownership of digital information. Traditional image watermarking algorithms embed a logo in the image that could reduce its visual quality. A new approach in watermarking called zero watermarking doesn’t need to embed a logo in the image. In this algorithm we find a feature from the main image and combine it with a logo to obtain a key. This key is securely kept by a trusted authority. In this thesis we show that we can increase the robustness of digital zero watermarking by a new counter detection method in comparison to Canny Edge detection and morphological dilatation that is mostly used by related works. Experimental results demonstrate that our proposed scheme is robust against common geometric and non-geometric attacks including blurring, JPEG compression, noise addition, Sharpening, scaling, rotation, and cropping. The main advantage of the proposed method is its ability to distinguishable key for images taken from the same scene with small angular rotation and minor displacement. The aim of this thesis is to watermark these images so that their identity could be distinguishable although they are very similar. In this thesis we showed that by using the new learning based contour detection method we can rich higher robustness compared with traditional Canny edge detector mostly used by related works. And also we showed that with this Learning based Contour detection method we can reach good results for the images taken from different point of views from the same scene
  9. Keywords:
  10. Copyright Protection ; Image Watermarking ; Hierarchical Segmentation ; Image Segmentation ; Trusted Authority ; Canny Edge Detection ; Contour Detection

 Digital Object List

 Bookmark

No TOC