Proceedings Paper
Application Of Singular Value Decomposition To Digital Image Processing| Format | Member Price | Non-Member Price |
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Paper Abstract
The Singular Value Decomposition (SVD) of an image matrix, followed by image restoration by part of singular values terms is employed for high frequency noise reduction. The Fisher criterion or an optimal filtering are implemented to the singular value image spectrum in order to remove or correct singular values corresponding to the variation due to additive noise. This procedure is proposed as a preprocessing step of interferogram processing.
Paper Details
Date Published: 3 April 1989
PDF: 4 pages
Proc. SPIE 1121, Interferometry '89, (3 April 1989); doi: 10.1117/12.961258
Published in SPIE Proceedings Vol. 1121:
Interferometry '89
Zbigniew Jaroszewicz; Maksymilian Pluta, Editor(s)
PDF: 4 pages
Proc. SPIE 1121, Interferometry '89, (3 April 1989); doi: 10.1117/12.961258
Show Author Affiliations
Methodi Kovatchev, Bulgarian Academy of Sciences (Bulgaria)
Evgeni Mitev, Bulgarian Academy of Sciences (Bulgaria)
Evgeni Mitev, Bulgarian Academy of Sciences (Bulgaria)
Rumiana Nedkova, Bulgarian Academy of Sciences (Bulgaria)
Published in SPIE Proceedings Vol. 1121:
Interferometry '89
Zbigniew Jaroszewicz; Maksymilian Pluta, Editor(s)
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