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A Robust Watermarking of Medical Image Based on 3D-DFT and Arnold Scrambling In Compressed Domain
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hu, Yanfang Li, Jingbing |
| Copyright Year | 2015 |
| Abstract | Currently, the medical information system is meeting many difficulties when conveying information via the network, such as leaking out the patients’ information, falsifying medical records, and destroying the structure of medical images etc. For these questions, the new algorithm with ultra-strong robustness is proposed, its innovation lies in perfectly combining digital watermarking technology, which is the domain technology in information security area, the emerging perceptual Hash technology, the classical threedimensional reconstruction technology, information encryption technology, and “the third party” certification together. Firstly, it is important to preprocess the original watermarking by means of Arnold scrambling; secondly, to obtain the needed information by 3D-DFT, we utilize perceptual Hash function to stratify and reduce the dimensions, as well as compress the medical volume data into 8 8, then the visual feature vector will be gained after reconstructing the three-dimensional image, which is the result of 3D-IDFT; ultimately, employing the bit operation of Hash function between the encrypted watermarking and visual feature vector, we can realize the embedding process. The experiments indicate that the approach is suitable for medical application because of its robustness. KeywordsPerceptual Hash; 3D reconstruction; Visual feature vector; Arnold scrambling;3D-DFT |
| File Format | PDF HTM / HTML |
| DOI | 10.2991/meic-15.2015.114 |
| Journal | ICM 2015 |
| Alternate Webpage(s) | https://download.atlantis-press.com/article/19747.pdf |
| Alternate Webpage(s) | https://doi.org/10.2991/meic-15.2015.114 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
