DocumentCode
3353260
Title
Research on Image Fusion Method Based on Wavelet Transform and NMF
Author
Ye, Youshi ; Zhao, Baojun
Author_Institution
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
Volume
2
fYear
2009
fDate
28-30 Oct. 2009
Firstpage
82
Lastpage
86
Abstract
The wavelet transform using in image fusion processing can get much more detail information of the source images in both airspace and frequency domains, but the high-frequency noise will be also saved to the fusion image. This paper brings out a new method based on NMF and wavelet transform for image fusion. Because of the good performance of NMF on character extraction, we can get more feature information and reduce the high-frequency noise to some extent. The result of image fusion is more faithful to the actual scene. Experiment shows that the method proposed in the paper has good performance on preserving the feature information for the test images.
Keywords
feature extraction; image fusion; matrix decomposition; wavelet transforms; airspace domain; character extraction; frequency domain; image fusion method; nonnegative matrix factorization; wavelet transform; Discrete wavelet transforms; Frequency domain analysis; Image fusion; Image processing; Image resolution; Noise reduction; Spatial resolution; Wavelet analysis; Wavelet domain; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3881-5
Type
conf
DOI
10.1109/WCSE.2009.771
Filename
5403365
Link To Document