By Topic

Multisensor image fusion by using discrete multiwavelet transform

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

1 Author(s)
Hai-Hui Wang ; Sch. of Comput. Sci. & Eng., Wuhan Inst. of Chem. Technol., China

We discuss the application of the discrete multiwavelet transform (DMWT) to multisensor image fusion processing. Multiwavelets are extension from scalar wavelets, and have several advantages in comparison with scalar wavelets. Multiwavelet analysis can offer a more precise image analysis than wavelet multiresolution analysis. A novel fusion algorithm is presented for multisensor images based on discrete multiwavelet transform that can be performed at pixel level. After the registering of source images, a pyramid for each source image can be obtained by applying decomposition with multiwavelet in each level. The multiwavelet decomposition coefficients of the input images are appropriately merged and a new fused image is obtained by reconstructing the fused multiwavelet coefficients. This image fusion algorithm may be used to combine images from multisensors to obtain a single composite with extended information content. The results of the experiment indicate that this image fusion algorithm can gain a more satisfactory fusion outcome.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:7 )

Date of Conference:

26-29 Aug. 2004