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dc.contributor.authorShabanian, Hanieh
dc.contributor.authorMashhadi, Farshad
dc.date.accessioned2018-06-21T18:41:24Z
dc.date.available2018-06-21T18:41:24Z
dc.date.issued2017-11
dc.identifier.citationShabanian, 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)en_US
dc.identifier.issn2471-9242
dc.identifier.otherWOS:000434201400002
dc.identifier.urihttp://dx.doi.org/10.1109/WNYIPW.2017.8356252
dc.identifier.urihttp://hdl.handle.net/10057/15344
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe 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.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2017 IEEE Western New York Image and Signal Processing Workshop (WNYISPW);
dc.subjectCopy-Move forgeryen_US
dc.subjectBlock-based approachen_US
dc.subjectStructural Similarity Indexen_US
dc.subjectGaussian pyramid decompositionen_US
dc.titleA new approach for detecting copy-move forgery in digital imagesen_US
dc.typeConference paperen_US
dc.rights.holder© 2017, IEEEen_US


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