alexa Detection of copy-move forgery using a method based on blur moment invariants.
Geology & Earth Science

Geology & Earth Science

Journal of Remote Sensing & GIS

Author(s): Mahdian B, Saic S

Abstract Share this page

Abstract In our society digital images are a powerful and widely used communication medium. They have an important impact on our life. In recent years, due to the advent of high-performance commodity hardware and improved human-computer interfaces, it has become relatively easy to create fake images. Modern, easy to use image processing software enables forgeries that are undetectable by the naked eye. In this work we propose a method to automatically detect and localize duplicated regions in digital images. The presence of duplicated regions in an image may signify a common type of forgery called copy-move forgery. The method is based on blur moment invariants, which allows successful detection of copy-move forgery, even when blur degradation, additional noise, or arbitrary contrast changes are present in the duplicated regions. These modifications are commonly used techniques to conceal traces of copy-move forgery. Our method works equally well for lossy format such as JPEG. We demonstrate our method on several images affected by copy-move forgery. This article was published in Forensic Sci Int and referenced in Journal of Remote Sensing & GIS

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

  • 2nd World Congress on GIS and Remote Sensing
    July 20-21, 2017 Munich, Germany
  • 3rd World Congress on GIS and Remote Sensing
    September 04-05, 2017 Philadelphia, Pennsylvania, USA
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords