A new approach for detecting copy-move forgery in digital images

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Authors
Shabanian, Hanieh
Mashhadi, Farshad
Advisors
Issue Date
2017-11
Type
Conference paper
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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Publisher
IEEE
Journal
Book Title
Series
2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW);
PubMed ID
DOI
ISSN
2471-9242
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