This paper describes the design and evaluation of a robust noise reduction fuzzy filter, and considers its application to video deinterlacing. The proposed fuzzy filter is designed to reduce mixed noise (random and impulse) and to be used in real-time deinterlacing. The proposed algorithm consists of two main processes: an adaptive weighted fuzzy filter and an edge direction based deinterlacer. The proposed filter is easy to implement by applying a weighted membership function to an image within a window to compute the pixel at the center position.
Robust fuzzy filter for noise reduction in video deinterlacing / G. Jeon, M. Anisetti, V. Bellandi, E. Damiani, J. Jeong, I.H. Suh - In: SITIS 2008 : 4. International conference on signal image technologies and Internet based systems : november 30-december 3, 2008, Dynasty Resort, Bali, Indonesia : proceedings / [a cura di] [s.n.]. - Los Alamitos : Institute of electrical and electronics engineers, 2008. - ISBN 9780769534930. - pp. 511-517 (( Intervento presentato al 4. convegno International Conference on Signal Image Technologies and Internet Based Systems (SITIS) tenutosi a Bali, Indonesia nel 2008.
Robust fuzzy filter for noise reduction in video deinterlacing
M. AnisettiSecondo
;V. Bellandi;E. Damiani;
2008
Abstract
This paper describes the design and evaluation of a robust noise reduction fuzzy filter, and considers its application to video deinterlacing. The proposed fuzzy filter is designed to reduce mixed noise (random and impulse) and to be used in real-time deinterlacing. The proposed algorithm consists of two main processes: an adaptive weighted fuzzy filter and an edge direction based deinterlacer. The proposed filter is easy to implement by applying a weighted membership function to an image within a window to compute the pixel at the center position.
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