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Weighted interpolation filter incorporating local region statistics

[+] Author Affiliations
Xiangdong Chen

Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, Jiangsu 210003, China

Gwanggil Jeon

Incheon National University, Department of Embedded Systems Engineering, 119 Academy-ro, Yeonsu-gu, Incheon 406-772, Republic of Korea

Jechang Jeong

Hanyang University, Department of Electronics and Computer Engineering, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Republic of Korea

Liwen He

Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, Jiangsu 210003, China

J. Electron. Imaging. 23(1), 013023 (Feb 14, 2014). doi:10.1117/1.JEI.23.1.013023
History: Received September 10, 2013; Revised December 7, 2013; Accepted January 8, 2014
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Abstract.  We propose a local region statistics-based weighted interpolation filter for intrafield deinterlacing. The proposed algorithm consists of three steps: first, we preinterpolate the missing line with an efficient interpolation filter in the working window. Then, we calculate the coefficients of the center-weighted interpolation filter by exploiting local statistics, namely the center-weighted mean, the center-weighted variance, and the closeness of the neighboring pixels. In the last step, we interpolate the missing line using the proposed filter. Experimental results show that the proposed algorithm provides superior performances in terms of both objective and subjective image qualities than the existing algorithm.

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Citation

Xiangdong Chen ; Gwanggil Jeon ; Jechang Jeong and Liwen He
"Weighted interpolation filter incorporating local region statistics", J. Electron. Imaging. 23(1), 013023 (Feb 14, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.1.013023


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