MATEC Web of Conferences
Volume 57, 20164th International Conference on Advancements in Engineering & Technology (ICAET-2016)
|Number of page(s)||4|
|Section||Electronic & Electrical Engineering|
|Published online||11 May 2016|
ACCURACY Detection of Digital Image Forgery by Using Ant Colony Optimization Technique
ECE Department, UIET Panjab University, Chandigarh, India
a Sarvjit Singh : firstname.lastname@example.org
Image forgery is one of the well known fields in which researches continuously exploring new areas. In digital image forgery one can change image in many ways using several software’s, researchers exploring new algorithms to detect image forgery areas and change it to original pixel values if possible. In this paper we employed ACO (Ant Colony Optimization) to find areas which are manipulated with some software. The experimental results prove that ACO is better than existing methods of detecting tampered regions in digital photo images.
Key words: ACO / digital photo image / digital forgery / digital image forensics
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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