3 April 1989 Application Of Singular Value Decomposition To Digital Image Processing
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Proceedings Volume 1121, Interferometry '89; (1989) https://doi.org/10.1117/12.961258
Event: Interferometry '89, 1989, Warsaw, Poland
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Methodi Kovatchev, Methodi Kovatchev, Evgeni Mitev, Evgeni Mitev, Rumiana Nedkova, Rumiana Nedkova, } "Application Of Singular Value Decomposition To Digital Image Processing", Proc. SPIE 1121, Interferometry '89, (3 April 1989); doi: 10.1117/12.961258; https://doi.org/10.1117/12.961258


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