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Proceedings Paper

Copy-move forgery detection using improved SIFT
Author(s): Yigang Zhou; Yunfang Xie
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Paper Abstract

There are various forgeries in digital images without leaving any obvious traces of tampering due to powerful image processing and editing software. Copy-move forgery is a common type of image forgery in which a part of digital image is copied and pasted to another part in the same image with the intent of disguising some details. Based on scale invariant feature transform, a new blind detection method using Haar wavelet and ring descriptor is proposed in this paper. The method proposed not only makes the feature more stable and distinctive but also reduces the detection time dramatically. Results of experiment show that the method proposed is not only effective on different forgeries but also robust to post image processing, such as noise, blur, JPEG compression, scaling, rotation, or even compound image processing.

Paper Details

Date Published: 29 August 2016
PDF: 6 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100334S (29 August 2016); doi: 10.1117/12.2244287
Show Author Affiliations
Yigang Zhou, Harbin Institute of Technology (China)
Yunfang Xie, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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