Direction-Oriented Line Interpolation Using Geometric Duality

Author

Park, Sang-Jun ; Jeon, Gwanggil ; Jeong, Jechang

Author_Institution

Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea

fYear

2010

fDate

1-3 Dec. 2010

Firstpage

87

Lastpage

91

Abstract

In this paper, a direction-oriented covariance based deinterlacing method is presented. First, the local direction of edge is determined by modified edge-based line average (MELA) method. Then, based on the geometric duality, the optimal interpolation coefficients for the neighbor pixels of corresponding direction are estimated using the Wiener filtering. Experimental results prove that the proposed method provides a significant improvement over the other existing deinterlacing methods.

Keywords

Wiener filters; covariance matrices; edge detection; geometry; interpolation; video signal processing; Wiener filtering; deinterlacing method; direction oriented covariance; direction oriented line interpolation; edge-based line average method; geometric duality; interpolation coefficient; Algorithm design and analysis; Design automation; Image edge detection; Interpolation; PSNR; Pixel; Signal processing algorithms; deinterlacing; edge-directed interpolation; geometric duality; low-complexity;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

978-1-4244-8816-2

Electronic_ISBN

978-0-7695-4271-3

Type

conf

DOI

10.1109/DICTA.2010.24

Filename

5692545