A 2D-DWT Based Enhanced Technique of Copy Move Forgery Detection

Authors

  • Simandeep Kaur Electronics and Communication Department, Asra College of Engineering and Technology
  • Neeraj Julka Electronics and Communication Department, Asra College of Engineering and Technology

Keywords:

Image processing, copy move forgery, Discrete Wavlet Transform, hit rate, miss rate

Abstract

Communication in visual form is very important in itself. It is also a very convincing medium of transfer of
information. Numerous fields of technology depend vastly on better quality and correctness of source image. But digital
image forgery creates problems for these technologies. Manipulation of images is now a very easy job due to availability
of numerous images editing software. It is now possible to add, modify, or remove important features from an image
without leaving any perceptual traces of tampering. Image forensics is a domain dedicated to stop such attempts and
preserve the data in an image. Through this project, we would like to detect a faulty image from image move forgery
attack.

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Published

2016-02-25

How to Cite

Simandeep Kaur, & Neeraj Julka. (2016). A 2D-DWT Based Enhanced Technique of Copy Move Forgery Detection. International Journal of Advance Engineering and Research Development (IJAERD), 3(2), 119–123. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/1238

Issue

Vol. 3 No. 2 (2016): Volume 3 Issue 2 February -2016

Section

Articles