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http://hdl.handle.net/11452/21430| Title: | Image manipulation detection |
| Authors: | Sankur, Bülent Memon, Nasir Uludağ Üniversitesi/Mühendislik Fakültesi/Elektronik Mühendisliği Anabilim Dalı. Bayram, Sevinç Avcıbaş, İsmail H-9089-2018 24597383800 6602339258 |
| Keywords: | Engineering Optics Imaging science & photographic technology Exposing digital forgeries Quality Feature extraction Image classification Image recognition Image reconstruction Decision fusion Feature fusion Forensic features Image manipulation Image analysis |
| Issue Date: | 2006 |
| Publisher: | Is &T & Spie |
| Citation: | Bayram, S. vd. (2006). ''Image manipulation detection''. Journal of Electronic Imaging, 15(4), 041102. |
| Abstract: | Techniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently attracted attention. We review three categories of forensic features and discuss the design of classifiers between doctored and original images. The performance of classifiers with respect to selected controlled manipulations as well as to uncontrolled manipulations is analyzed. The tools for image manipulation detection are treated under feature fusion and decision fusion scenarios. |
| URI: | https://doi.org/10.1117/1.2401138 https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-15/issue-4/041102/Image-manipulation-detection/10.1117/1.2401138.short?SSO=1 http://hdl.handle.net/11452/21430 |
| ISSN: | 1017-9909 1560-229X |
| Appears in Collections: | Scopus Web of Science |
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