Paper Info
Title
Edge-adaptive spatial video de-interlacing algorithms based on fuzzy logic.
Abstract
Since the human visual system is especially sensitive to image edges, edge-dependent spatial interpolators have been proposed in literature as a means of successfully restoring edges while avoiding the staircase effect of linear spatial algorithms. This paper addresses the application of video de-interlacing, which constitutes an indispensable stage in video format conversion. Classic edge-adaptive de-interlacing algorithms introduce annoying artifacts when the edge directions are evaluated incorrectly. This paper presents two ways of exploiting fuzzy reasoning to reinforce edges without an excessive increase in computational complexity. The performance of the proposed algorithms is analyzed by deinterlacing a wide set of test sequences. The study compares the two proposals both with each other and with other edge-adaptive de-interlacing methods reported in the recent literature.
Year
DOI
Venue
2014
10.1109/TCE.2014.6937321
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
Image edge detection,Interpolation,Signal processing algorithms,Fuzzy logic,Proposals,Educational institutions,Algorithm design and analysis
Signal processing,Computer vision,Interlacing,Fuzzy reasoning,Computer science,Human visual system model,Fuzzy inference,Fuzzy logic,Algorithm,Theoretical computer science,Artificial intelligence,Computational complexity theory
Journal
Volume
Issue
ISSN
60
3
0098-3063
Citations 
PageRank 
References 
2
0.40
0
Authors
7
Name
Order
Citations
PageRank
Piedad Brox Jiménez1333.32
Iluminada Baturone214923.70
Santiago Sánchez-Solano3558.35
Julio Gutiérrez-Ríos420.40
Brox, P.520.40
Sanchez-Solano, S.620.40
Gutierrez-Rios, J.720.40