By Topic

A color image enhancement method based on Ensemble Empirical Mode Decomposition and Genetic Algorithm

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)

In this paper, we introduce a new method for enhancement of the color images. The proposed approach utilizes Ensemble Empirical Mode Decomposition (EEMD) and Genetic Algorithm (GA). The algorithm is tested on the underwater images and the underexposed scenes. For the dark images, a nonlinear transform is first performed on the original image as a preliminary illumination correction. For underwater images, the mean of each RGB channels is initially corrected based on a GA-oriented technique. After the preprocessing steps, an EEMD based method is applied on the luminance channel of the resulting image to further correct the brightness of the image. The Genetic Algorithm enables the presented method to set the required parameters automatically. The experimental results demonstrate the effectiveness of the algorithm in visual enhancement of the color images.

Published in:

World Automation Congress (WAC), 2012

Date of Conference:

24-28 June 2012