DocumentCode :
700222
Title :
Heterogeneous multidimensional data deblurring
Author :
Soulez, Ferreol ; Thiebaut, Eric ; Gressard, Alain ; Dauphin, Raphael ; Bongard, Sbastien
Author_Institution :
Centre de Rech. Astrophys. de Lyon, Univ. Lyon 1, St. Genis Laval, France
fYear :
2008
fDate :
25-29 Aug. 2008
Firstpage :
1
Lastpage :
5
Abstract :
We present a new scheme for deconvolution of heterogeneous multidimensional data (e.g. spatio-temporal or spatio-spectral). It is derived, in a very general way, following an inverse problem approach. This method exploits the continuity of both object and PSF along the different dimensions to elaborate separable constraints. This improves the effectiveness and the robustness of the deconvolution technique. We demonstrate these improvements by processing real X-ray video sequences (x, y, t) and astronomical multi-spectral images (x, y, λ).
Keywords :
X-ray imaging; deconvolution; image restoration; image sequences; inverse problems; multidimensional systems; video signal processing; X-ray video sequences; astronomical multispectral images; deconvolution technique; heterogeneous multidimensional data deblurring; inverse problem approach; Deconvolution; Europe; Image reconstruction; Noise; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne
ISSN :
2219-5491
Type :
conf
Filename :
7080754
Link To Document :
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