By Topic

Local Histogram Equalization Based on the Minimum Brightness Error

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
$33 $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)
Yafei Tian ; Lanzhou University, China ; Qingtao Wan ; Fengjun Wu

Histogram equalization is a very useful method for contrast enhancement. The brightness of the output image has nothing to do with the brightness of the input image. The paper proposed a new algorithm which based on the minimum mean brightness error bi-histogram equalization and the local histogram equalization. Simulation results prove that the new algorithm is better than other algorithms.

Published in:

Image and Graphics, 2007. ICIG 2007. Fourth International Conference on

Date of Conference:

22-24 Aug. 2007