A new approach for detecting copy-move forgery in digital images
Shabanian, Hanieh Mashhadi, Farshad
Shabanian, Hanieh
Mashhadi, Farshad
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2017-11
Type
Conference paper
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Keywords
Copy-Move forgery,Block-based approach,Structural Similarity Index,Gaussian pyramid decomposition
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Citation
Shabanian, Hanieh; Mashhadi, Farshad. 2017. A new approach for detecting copy-move forgery in digital images. 2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW)
Abstract
The copy-move forgery is a common way to manipulate the digital images, which copied regions come from the same image. The detection process of altered regions is known as forgery detection. In this paper, we propose a new block-based approach for detecting copy-move forgery in digital images. The novelty of the proposed approach is the usage of structural similarity index as the method for similarity matching step. Additionally, Gaussian pyramid decomposition method allows us to improve run-time speed of the approach considerably. Therefore, feature extraction would not require, hence; it can help to diminish time-consuming issue. Accordingly, simplicity in calculating and analyzing is the significant specification of the proposed approach. Experiments are provided to illustrate an efficiency of suggested approach and evaluate its robustness and sensitivity against some post-processing operations.
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IEEE
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2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW)
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2471-9242