Manipulation detection on image patches using FusionBoost
In this paper, we propose a novel manipulation detection framework for image patches using a fusion procedure, called FusionBoost, in conjunction with accurately detected derivative correlation features. By first dividing all demosaiced samples of a color image into a number of categories, we estima...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/95869 http://hdl.handle.net/10220/11373 |
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| Institution: | Nanyang Technological University |
| Language: | English |