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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yaqing Niu Qin Zhang Kyan, M. Krishnan, S. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada (Kyan, M.; Krishnan, S.) || Information Engineering School, Communication University of China, Beijing, China (Yaqing Niu; Qin Zhang) |
| Abstract | Perceptual watermarking should take full advantage of the results from human visual system (HVS) studies. Just noticeable distortion (JND), which refers to the maximum distortion that the HVS does not perceive, gives us a way to model the HVS accurately. In this paper, another very important aspect affecting human perception, visual saliency, is introduced to modulate JND profile. Based upon visual saliency's modulatory effect on JND profile which incorporates visual attention's influence on visual sensitivity, the saliency modulated JND model guided image watermarking scheme is proposed. Experimental results confirm the improved performance of our saliency modulated JND model. Our saliency modulated JND model is capable of shaping lower injected-watermark energy onto more sensitive regions and higher energy onto the less perceptually significant regions in the image, which yields better visual quality of the watermarked image. At the same time, the proposed saliency modulated JND model guided image watermarking scheme is more robust than unmodulated JND model guided image watermarking scheme while retaining the watermark transparency. |
| Starting Page | 321 |
| Ending Page | 326 |
| File Size | 1445481 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424476077 |
| e-ISBN | 9788988678275 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-16 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | AICIT |
| Subject Keyword | Visual Saliency Just noticeable distortion (JND) Image coding Adaptation model Estimation Robustness Image watermarking |
| Content Type | Text |
| Resource Type | Article |
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