A robust fuzzy-bilateral filtering method and its application to video deinterlacing

Abstract

Deinterlacing converts an interlaced field to progressive frames while sustaining and improving image details. This is one of the key operations of image processing. However, filter-based interpolation and detail enhancement are contradictory operations. Therefore, it is hard to implement two such operations simultaneously. In this paper, we propose a robust fuzzy-bilateral filtering method and its application to video deinterlacing. The proposed bilateral filtering concept considers the range and domain filters based on a fuzzy metric. This characteristic is adaptively applied to both existing pixel activity and the associated position between existing neighbor pixels and the missing pixels. Simulation results prove that the proposed method can efficiently interpolate the interlaced field while enhancing detail.