A 2D-DWT Based Enhanced Technique of Copy Move Forgery Detection
| Author(s) | : | Simandeep Kaur, Neeraj Julka |
| Institution | : | Electronics and Communication Department, Asra College of Engineering and Technology |
| Published In | : | Vol. 3, Issue 2 — February 2016 |
| Page No. | : | 119-123 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Communication in visual form is very important in itself. It is also a very convincing medium of transfer ofinformation. Numerous fields of technology depend vastly on better quality and correctness of source image. But digitalimage forgery creates problems for these technologies. Manipulation of images is now a very easy job due to availabilityof numerous images editing software. It is now possible to add, modify, or remove important features from an imagewithout leaving any perceptual traces of tampering. Image forensics is a domain dedicated to stop such attempts andpreserve the data in an image. Through this project, we would like to detect a faulty image from image move forgeryattack.
Simandeep Kaur, Neeraj Julka, “A 2D-DWT Based Enhanced Technique of Copy Move Forgery Detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 2, pp. 119-123, February 2016.
