Email this article Optimal Parameter Estimation of Spatial-Local Signal Filtering Algorithms
- Authors: Voskoboinikov Y.E.1,2
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Affiliations:
- Novosibirsk State University of Architecture and Civil Engineering
- Novosibirsk State Technical University
- Issue: Vol 55, No 3 (2019)
- Pages: 222-229
- Section: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212736
- DOI: https://doi.org/10.3103/S8756699019030026
- ID: 212736
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Abstract
Spatial-local algorithms for signal and image filtering are widely used in practice because they have one or several parameters whose values significantly determine a filtering error. The choice of these parameters from the filtering error minimum condition is a known problem that has not been acceptably solved yet. A statistical algorithm is proposed that makes it possible to quite accurately estimate the optimal parameters of two spatial-local filters. An efficient algorithm for estimating the measurement noise variance is presented.
About the authors
Yu. E. Voskoboinikov
Novosibirsk State University of Architecture and Civil Engineering; Novosibirsk State Technical University
Author for correspondence.
Email: voscob@mail.ru
Russian Federation, ul. Leningradskaya 113, Novosibirsk, 630008; pr. Karla Marksa 20, Novosibirsk, 630073
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