Robust fuzzy filter for noise reduction in video deinterlacing

Gwanggil Jeon, Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Jechang Jeong, Il Hong Suh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageBritish English
Title of host publicationSITIS 2008 - Proceedings of the 4th International Conference on Signal Image Technology and Internet Based Systems
Pages511-517
Number of pages7
DOIs
StatePublished - 2008
Event4th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2008 - Bali, Indonesia
Duration: 30 Nov 20083 Dec 2008

Publication series

NameSITIS 2008 - Proceedings of the 4th International Conference on Signal Image Technology and Internet Based Systems

Conference

Conference4th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2008
Country/TerritoryIndonesia
CityBali
Period30/11/083/12/08

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