DocumentCode :
937645
Title :
Deconvolution and Weiner filtering of short-range radiometric images
Author :
Bocquet, Bertrand ; Ait-Abdelmalek, R. ; Leroy, Y.
Author_Institution :
Univ. des Sci. et Technol. de Lille, Villeneueve d´Ascq, France
Volume :
29
Issue :
18
fYear :
1993
Firstpage :
1628
Lastpage :
1629
Abstract :
A radiometric probe positioned at different points on the surface of a lossy medium can detect the presence of a sub-surface thermal noise source. Radiometric images are obtained by a combination of measured data and calculated weighting functions of the probe associated with the underlying lossy materials. The authors show that the quality of these images and their spatial resolution can be greatly improved by Wiener filtering deconvolution of their corresponding data.
Keywords :
filtering and prediction theory; medical image processing; microwave imaging; patient diagnosis; radiometry; thermal noise; 3 GHz; Weiner filtering; biological tissue; breast tissue; lossy medium; microwave radiometric imaging; radiometric probe; short-range radiometric images; sub-surface thermal noise source; weighting functions;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19931084
Filename :
233084
Link To Document :
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