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 :
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