An intelligent block matching approach for localisation of copy-move forgery in digital images.

Citation metadata

Date: July 28, 2021
Publisher: Inderscience Publishers Ltd.
Document Type: Brief article
Length: 135 words

Document controls

Main content

Abstract :

Block-based copy-move forgery detection (CMFD) methods work with features from overlapping blocks. As overlapping blocks are involved, thresholds related to similarity and the physical distances are defined to identify the duplicated regions. However, these thresholds are controlled manually in localising the forged regions. In order to overcome this, an intelligent block matching approach for localisation is proposed using colour and texture features (CTF) through firefly algorithm. Investigation of the proposed CTF method is carried out on a standard database, which achieved an average true detection rate of 0.98 and an average false detection rate of 0.07. The proposed CTF method is robust against brightness change, colour reduction, blurring, contrast adjustment attacks, and additive white Gaussian noise. Performance analysis of the CTF method validates its superiority over other existing methods. Byline: Gulivindala Suresh, Chanamallu Srinivasa Rao

Source Citation

Source Citation   

Gale Document Number: GALE|A671859800