Paper Info
Title
Deinterlacing method based on edge direction refinement using weighted maximum frequent filter
Abstract
In this paper, we propose an efficient edge dependent deinterlacing algorithm with edge directional refinement using the weighted maximum frequent filter. Conventional edge dependent algorithms achieve better visual performance than any other Intra-field deinterlacing algorithms. However, they are very sensitive to noise and may produce poor results due to their failure to estimate the edge direction. In order to improve the reliability and consistency of detected edge direction, our method first detects the edge direction of a pixel to be interpolated and refines the edge direction using the weighted maximum frequent filter. The simulation results have shown the efficacy of the proposed method with significant improvement over the previous methods in terms of the objective PSNR quality as well as subjective image quality.
Year
DOI
Venue
2011
10.1145/1968613.1968657
ICUIMC
Keywords
Field
DocType
dependent algorithm,conventional edge,intra-field deinterlacing algorithm,edge direction,deinterlacing method,edge direction refinement,weighted maximum frequent filter,previous method,objective psnr quality,dependent deinterlacing algorithm,edge directional refinement,efficient edge,image quality
Computer vision,Computer science,Deinterlacing,Interpolation,Image quality,Pixel,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
Jee-Hoon Jung112520.83
Sung-Hoon Hong274.43