My Ph.D. research investigates the properties and behaviours of signals in a chain of acquisition. The research focuses on the following research themes.
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Forensics of Images in Acquisition Chains
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The advances in digital techniques make possible that a digital image can be repeatedly processed and modified after it was created. This research explores the new area of image forensics in a chain of image processing and focuses on a chain of image acquisition. We study blurring patterns, footprints left in digital images, which are correlated to the intrinsic properties of corresponding acquisition devices. The research aims to understand the mechanism how these patterns have changed over the chain of acquisition, and we are hopeful that the know-how would allow us to retrieve the acquisition history of certain digital images.
The preliminary work is presented in [1] with the algorithm using dictionary of edge profiles. Our technique provides efficient and pragmatic tools for recapture detection and the identification of acquisition chain structure.
The research is in progress.
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Theoretical Framework for Acquisition Chain Analysis
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The research theme focuses on the investigation of signals in complex chains of acquisition and reconstruction. With special classes of signals, we study and try to explain how the signals have changed in the chains. The changes in parametric expressions of the signals from their inputs provide important information corresponding to the unique properties of the chain structures the signals have gone through.
It is expected that the knowledge we obtained from the theoretical framework [2] would allow us to create novel tools for signal forensic analysis. The findings would lead to the development of techniques for reverse engineering of acquisition chains once only the final query signals can be accessible.
The research is in progress.
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| Reference | Publication Page |
[1] T.Thongkamwitoon, H. Muammar, and P.L. Dragotti, "Identification of Image Acquisition Chains Using a Dictionary of Edge Profiles", in Proc. of European Conference on Signal Processing (EUSIPCO), 2012.
[2]T.Thongkamwitoon, , H. Muammar, and P.L. Dragotti, " Reverse Engineering of Signal Acquisition Chains using The Theory of Sampling Signals with Finite Rate of Innovation", in Proc. IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), 2013.
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Research