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Optical Engineering

Adaptive autoregressive deinterlacing method
Author(s): Jiaji Wu; Jin Huang; Gwanggil Jeon; Junsang Cho; Jechang Jeong; Licheng Jiao
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Paper Abstract

This paper proposes a single-field deinterlacing method based on the autoregressive model and edge map. The new method interpolates missing pixels through estimating the deinterlaced covariance from the interlaced covariance, instead of estimating the edge orientations as previous intrafield deinterlaced methods (line average, edge-based line-average, direction-oriented interpolation, etc.) do. The proposed method adopts autoregressive mechanism, which considers mutual influence between the estimated missing pixels in a slip window. In addition, adding an edge map in our algorithm is used to reduce the computational complexity. The experimental results show that the proposed method outperformed the previous method in peak signal-to-noise ratio, and common artifacts (serration, line crawl, flicker, blurring, etc.) are significantly reduced.

Paper Details

Date Published: 1 May 2011
PDF: 7 pages
Opt. Eng. 50(5) 057001 doi: 10.1117/1.3572125
Published in: Optical Engineering Volume 50, Issue 5
Show Author Affiliations
Jiaji Wu, Xidian Univ. (China)
Jin Huang, Xidian Univ. (China)
Gwanggil Jeon, Univ. of Ottawa (Canada)
Junsang Cho, Hanyang Univ. (Korea, Republic of)
Jechang Jeong, Hanyang Univ. (Korea, Republic of)
Licheng Jiao, Xidian Univ. (China)


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