Copy-Move Forgery Detection Based on SVD in Digital Image

Identifying the authenticity and integrity of digital images becomes increasingly important in digital forensics. In this paper, we propose an effective method for detecting copymove forgery. This method is implemented by first extracting SV features, which are invariant to algebraic, geometric chan...

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Bibliographic Details
Published in2009 2nd International Congress on Image and Signal Processing pp. 1 - 5
Main Authors Zhang, Ting, Wang, Rang-ding
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Authentication
Computational complexity
Contamination
Digital images
Feature extraction
Forgery
Gaussian noise
Image processing
Robustness
Singular value decomposition
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Summary:Identifying the authenticity and integrity of digital images becomes increasingly important in digital forensics. In this paper, we propose an effective method for detecting copymove forgery. This method is implemented by first extracting SV features, which are invariant to algebraic, geometric changes, and some disturbances. Due to similar texture characteristic between copied and pasted regions, each SV feature vector is represented as a query and is then matched to its nearest neighbors in image. Experiments are provided to demonstrate the efficiency of presented method on different forgeries and evaluate its robustness and sensitivity to tampered images with some post image processing.
ISBN:1424441293
9781424441297
DOI:10.1109/CISP.2009.5301325