Fuzzy Metrics Application in Video Spatial Deinterlacing

Authors:
Julio Riquelme;Samuel Morillas;Guillermo Peris-Fajarnés;Dolores Castro
Affiliations:
Universidad Politécnica de Valencia, E.P.S. de Gandia, Departamento de Expresión Gráfica en la Ingeniería, Carretera Nazaret-Oliva s/n, 46730 Grao de Gandia (Valencia), Spain;Universidad Politécnica de Valencia, E.P.S. de Gandia, Departamento de Expresión Gráfica en la Ingeniería, Carretera Nazaret-Oliva s/n, 46730 Grao de Gandia (Valencia), Spain;Universidad Politécnica de Valencia, E.P.S. de Gandia, Departamento de Expresión Gráfica en la Ingeniería, Carretera Nazaret-Oliva s/n, 46730 Grao de Gandia (Valencia), Spain;Universidad Politécnica de Valencia, E.P.S. de Gandia, Departamento de Expresión Gráfica en la Ingeniería, Carretera Nazaret-Oliva s/n, 46730 Grao de Gandia (Valencia), Spain
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

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Abstract

Spatial methods play a relevant role in the deinterlacing matter. Common spatial algorithms often introduce artifacts like crawling, alias and blur in the output signal. In this paper a new spatial deinterlacing method for color image sequences that introduces less artifacts than other common methods is proposed. It uses fuzzy metrics to select the current pixel from a group of the nearest pixels taking into account how much chromatically similarand spatially closeare these pixels to each other. Experimental results show that the proposed algorithm outperforms common spatial algorithms in various video sequences.