DocumentCode
1861930
Title
A new algorithm for image fusion via sparse representation
Author
Liu Ting ; Cheng Jian
Author_Institution
University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, 611731, China
fYear
2012
fDate
3-5 March 2012
Firstpage
151
Lastpage
154
Abstract
An image fusion method is presented to sharpen the multi-spectral image using sparse representation. Firstly, IHS transform is applied to multi-spectral image. Achieve new intensity component which takes the method of smoothing filter-based intensity modulation on the original intensity component. Subsequently, the intensity component and panchromatic image are fused their sparse coefficient through sparse representation. Finally, the fused image is achieved by the IHS transformation. The test results prove that suggested method improves spatial resolution and maintain spectral characteristics comparison with some conventional method.
Keywords
image fusion; sparse representation; training dictionary;
fLanguage
English
Publisher
iet
Conference_Titel
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location
Xiamen
Electronic_ISBN
978-1-84919-537-9
Type
conf
DOI
10.1049/cp.2012.0942
Filename
6492549
Link To Document