Localization of Copy-Move Forgery in Digital Images through Differential Excitation Texture Features
Year: 2019
Type: article
Abstract: In this digital age, the extensive usage of digital devices and availability of open source image editing software leads to the easy manipulation of digital images.Copy-Move Forgery (CMF) is a guileless and widespread approach to hide or duplicate a certain portion of the image without leaving visual clues.Thus, it is difficult to detect the copy-move forgeries and there is a need for forensic experts to rely on an effective approach for CMF detection for forensic analysis.Hence, an efficient passive block based approach to detect and localize CMF is proposed.In the proposed method, texture features are extracted from Differential Excitation Component on the overlapping blocks of the image.Similarity measure is performed for block matching and mapping is done to identify the duplicated regions.Evaluation is performed qualitatively and quantitatively on CoMoFoD dataset; true detection rate of 0.99 and false detection rate of 0.08 has been achieved.Evaluation validates that proposed method out performs the other existing methods with regard to detection accuracy.
Authors: Gulivindala Suresh, Chanamallu Rao
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2919007202