Optimization of stack filters under constraints

Pauli Kuosmanen; Karen O. Egiazarian; Jaakko T. Astola

doi:10.1117/12.205208

28 March 1995 Optimization of stack filters under constraints

Pauli Kuosmanen, Karen O. Egiazarian, Jaakko T. Astola

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205208
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Nonlinear signal processing elements are increasingly needed in current signal processing systems. Stack filters form a large class of nonlinear filters, which have found a range of applications, giving excellent results in the area of noise filtering. Naturally, the development of fast procedures for the optimization of stack filters is one of the major aims in the research in the field. The objective of the optimization method presented in this paper is to find the stack filter producing optimal noise attenuation and satisfying given constraints. The constraints may limit the search into a set of stack filters with some common statistical description or they may describe certain structures which must be preserved or deleted.

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Pauli Kuosmanen, Karen O. Egiazarian, and Jaakko T. Astola "Optimization of stack filters under constraints", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205208

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KEYWORDS

Digital filtering

Filtering (signal processing)

Optimal filtering

Signal attenuation

Binary data

Nonlinear filtering

Signal processing

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