Separable-denominator two-dimensional adaptive filters with application to noise reduction in images

DOI10.1016/0096-3003(94)00102-AzbMath0826.65124MaRDI QIDQ1892058

Tatsuo Higuchi, Masayuki Kawamata, Eiichiro Kawakami

Publication date: 6 July 1995

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

zbMATH Keywords

computational complexitynumerical examplesimage processingfilteringadaptationexperimental resultsstability testsleast mean squares algorithmsseparable-denominator two-dimensional adaptive filters

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Numerical solutions to overdetermined systems, pseudoinverses (65F20) Computing methodologies for image processing (68U10) Signal detection and filtering (aspects of stochastic processes) (60G35) Complexity and performance of numerical algorithms (65Y20) Probabilistic methods, stochastic differential equations (65C99)

Cites Work

• Decomposition of 2-D separable-denominator systems: Existence, uniqueness, and applications

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