By Topic

Detection of Copy-Create Image Forgery Using Luminance Level Techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Murali, S. ; Maharaja Inst. of Technol., Mysore, India ; Anami, B.S. ; Chittapur, G.B.

The luminance of an image is the measurement of the perceived brightness levels. Intuitively, if two images are taken from different cameras with different lighting, some sort of discrepancy may occur in those areas, which were copied and pasted. In particular, analyzing areas in a forged image which are approximately the same distance away from the lens but have different luminance levels. This analysis is heavily dependent on the skill level of the person creating the forgery and the resources available to perform the manipulation. Newer versions of image processing software make it easy for even a novice user to create forgeries based on automated "auto-brightness" adjustments. We succeeded to identify such image forgeries.

Published in:

Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on

Date of Conference:

15-17 Dec. 2011