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Technical Program
Paper Detail
| Paper: | WA-L3.7 |
| Session: | Forensics |
| Time: | Wednesday, October 11, 12:00 - 12:20 |
| Presentation: |
Lecture
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| Title: |
IMAGE TAMPERING IDENTIFICATION USING BLIND DECONVOLUTION |
| Authors: |
Ashwin Swaminathan; University of Maryland, College Park | | | | | Min Wu; University of Maryland, College Park | | | | | K. J. Ray Liu; University of Maryland, College Park | | |
| Abstract: |
Digital images have been used in growing number of applications from law enforcement and surveillance, to medical diagnosis and consumer photography. With such widespread popularity and the presence of low-cost image editing softwares, the integrity of image content can no longer be taken for granted. In this paper, we propose a novel technique based on blind deconvolution to verify image authenticity. We consider the direct output images of a camera as authentic, and introduce algorithms to detect further processing such as tampering applied to the image. Our proposed method is based on the observation that many tampering operations can be approximated as a combination of linear and non-linear components. We model the linear part of the tampering process as a filter, and obtain its coefficients using blind deconvolution. These estimated coefficients are then used to identify possible manipulations. We demonstrate the effectiveness of the proposed image authentication technique and compare our results with existing works. |
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