DocumentCode
3073034
Title
Wavelet-based fusion of noisy multispectral images using Spatial Oriented Trees
Author
Bekhtin, Yury S. ; Bryantsev, Andrey A. ; Malebo, Damiao P.
Author_Institution
Ryazan State Radioeng. Univ., Ryazan, Russia
fYear
2013
fDate
15-20 June 2013
Firstpage
113
Lastpage
116
Abstract
The new wavelet-based fusion method of noisy multispectral images based on logical processing of Spatial Oriented Trees (SOTs) is suggested. The fused image is formed as the result of SOTs nonlinear approximations of the input images by analysis of the normalized SOT curves of corresponding wavelet coefficients. The results of modeling have shown the advantage of the proposed fusion method comparing with well-known fusion procedures under PSNR and SSIM criteria.
Keywords
approximation theory; image fusion; trees (mathematics); wavelet transforms; PSNR criteria; SOT nonlinear approximations; SSIM criteria; input images; logical processing; normalized SOT curve analysis; peak-to-signal-noise ratio; spatial oriented trees; structural similarity index measure; wavelet coefficients; wavelet-based noisy multispectral image fusion; Noise; Noise measurement; noisy multispectral images; spatial-oriented trees; wavelet-based fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Computing (MECO), 2013 2nd Mediterranean Conference on
Conference_Location
Budva
ISSN
1800-993X
Type
conf
DOI
10.1109/MECO.2013.6601332
Filename
6601332
Link To Document