Title
Fast and efficient intra-frame deinterlacing using observation model based bilateral filter
Abstract
Recently, a few bilateral filter based interpolation and intraframe deinterlacing algorithms have been proposed, but these algorithms only use prior information (bilateral filter). In this paper, we propose an efficient and fast intra-frame deinterlacing algorithm using an observation model based bilateral filter (using both likelihood and prior information). Our proposed algorithm is also able to use approximated horizontal pixels for the deinterlacing, which results into the better prediction of the edges. From extensive experiments, it is observed that the proposed algorithm has the capability of provide satisfactory results in terms of both objective and subjective quality.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854719
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
edge detection,interpolation,bilateral filter based interpolation,edge prediction,intraframe deinterlacing algorithms,observation model based bilateral filter,Bilateral filter,Correlation,Deinterlacing,Intra-frame,Kernel ridge regression
Computer vision,Mathematical optimization,Pattern recognition,Deinterlacing,Computer science,Interpolation,Artificial intelligence,Intra-frame,Pixel,Bilateral filter
Conference
ISSN
Citations 
PageRank 
1520-6149
4
0.40
References 
Authors
6
5
Name
Order
Citations
PageRank
Vinit Jakhetiya110212.89
Oscar C. Au21592176.54
Sunil Prasad Jaiswal3427.94
Luheng Jia4225.35
Hong Zhang5719126.06