By Topic

Image fusion scheme based on local gradient

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)
Chu Heng ; Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Li Jie ; Zhu Wei-le

The objective of image fusion is to combine the source images of the same scene to form one composite image that contains a more accurate description of the scene than any one of the individual source images. A multiresolution image fusion method and its modified method using the local gradient of low frequency coefficients are proposed in this paper. To fuse images using the wavelet transform, the new methods are implemented to select low frequency coefficients, compared with conventional approaches. The fused images are evaluated by parameters such as the average error, the peak signal noise rate, and the root mean square error. The experimental results show that the parameters obtained with the new methods are better than those with the other conventional methods, while the optimal wavelet decomposition level of the new methods is less than that of conventional approaches.

Published in:

Communications, Circuits and Systems, 2005. Proceedings. 2005 International Conference on  (Volume:1 )

Date of Conference:

27-30 May 2005