DocumentCode
2225890
Title
Multichannel image deconvolution in the Wavelet Transform domain
Author
Benazza-Benyahia, A. ; Pesquet, J.-C.
Author_Institution
URISA, SUP´COM, Ariana, Tunisia
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
5
Abstract
In this paper, we are interested in restoring blurred multicomponent images corrupted by an additive Gaussian noise. The novelty of the proposed approach is two-fold. Firstly, we show how to combine M-band Wavelet Transforms (WT) with Fourier analysis to restore multicomponent images. Secondly, we point out that the multichannel deconvolution procedure takes advantage of exploiting multivariate regression rules. Simulations experiments carried out on multispectral satellite images indicate the good performance of our method.
Keywords
AWGN; Fourier analysis; deconvolution; geophysical image processing; image restoration; remote sensing; wavelet transforms; Fourier analysis; M-band wavelet transforms; additive Gaussian noise; blurred multicomponent images restoration; multichannel deconvolution; multichannel image deconvolution; multispectral satellite images; wavelet transform domain; Abstracts; Estimation; Europe; Image restoration; Noise; Noise reduction; Transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071668
Link To Document