A fuzzy edge-dependent motion adaptive algorithm for de-interlacing

Authors:
P. Brox;I. Baturone;S. Sánchez-Solano;J. Gutiérrez-Ríos;F. Fernández-Hernández
Affiliations:
Instituto de Microelectrónica de Sevilla (CNM-CSIC), Avda. Reina Mercedes, s/n Edif, CICA, 41012 Sevilla, Spain;Instituto de Microelectrónica de Sevilla (CNM-CSIC), Avda. Reina Mercedes, s/n Edif, CICA, 41012 Sevilla, Spain;Instituto de Microelectrónica de Sevilla (CNM-CSIC), Avda. Reina Mercedes, s/n Edif, CICA, 41012 Sevilla, Spain;Dpto. Tecnología Fotónica, Facultad de Informática, Univ. Politécnica Madrid, Campus de Montegancedo S/N, 28660 Boadilla del Monte (Madrid), Spain;Dpto. Tecnología Fotónica, Facultad de Informática, Univ. Politécnica Madrid, Campus de Montegancedo S/N, 28660 Boadilla del Monte (Madrid), Spain
Venue:
Fuzzy Sets and Systems
Year:
2007

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Abstract

De-interlacing algorithms are required to convert interlaced video into progressive scan format. They perform an interpolation technique which doubles the vertical sampling density. This paper presents a de-interlacing algorithm which employs fuzzy logic to adapt the interpolation strategy to the presence of motion and edges. Extensive simulations of video sequences prove the advantages of this novel approach.