Paper Info
Title
Weighted Fuzzy Filter On Interlaced-To-Progressive Conversion
Abstract
In this paper, we describe a new spatial domain deinterlacing algorithm which based on the fuzzy weight function. This technique is applied to the issue of missing pixel calculation in video deinterlacing. Traditional edge-based deinterlacing methods became poor at detecting precise edge direction which influences deinterlacing performance. Also, they do not use 0 edge direction information together but just use only one edge direction. In the proposed algorithm, weights are extracted from luminance difference values and multiplied by the candidate deinterlaced pixels. The extracted weights are worth to be used for proposed method to calculate the edge direction precisely. Compared to the conventional edge-based deinterlacing method, the proposed algorithm provides good visual results in various kinds of edges.
Year
DOI
Venue
2008
10.1109/ICME.2008.4607399
2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4
Keywords
Field
DocType
Deinterlacing, edge-based interpolation, video processing, image enhancement, fuzzy weight function
Computer vision,Video processing,Weight function,Pattern recognition,Deinterlacing,Computer science,Edge detection,Motion compensation,Fuzzy logic,Pixel,Artificial intelligence,Luminance
Conference
Citations 
PageRank 
References 
2
0.39
11
Authors
5
Name
Order
Citations
PageRank
Gwanggil Jeon1596117.99
Rokkyu Lee272.51
Dong-Hyung Kim313014.38
Joohyun Lee461.50
Jechang Jeong51002141.22