By Topic

Multi-focus image fusion using quality assessment of spatial domain 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

5 Author(s)
Jingbo Zhang ; Northeast Normal Univ., Jilin ; Xue Feng ; Baoling Song ; Mingjie Li
more authors

For most image fusion algorithms split relationship among pixels and treat them more or less independently, this paper proposes a region based multi-focus image fusion scheme using quality assessment of spatial domain and genetic algorithm, which combines aspects of feature and pixel-level fusion. The basic idea is to divide the source images into blocks, and then select the corresponding blocks with higher quality assessment value to construct the resultant fused image. GA is brought forward to determine the suitable sizes of the block. Experimental results demonstrate that the proposed scheme outperforms Haar wavelet approach and morphological wavelet approach, both in visual effect and objective evaluation criteria, which is more robust under mis-registration situation.

Published in:

Human System Interactions, 2008 Conference on

Date of Conference:

25-27 May 2008