Adaptive autoregressive deinterlacing method

Jiaji Wu; Jin Huang; Gwanggil Jeon; Junsang Cho; Jechang Jeong; Licheng Jiao

doi:10.1117/1.3572125

1 May 2011 Adaptive autoregressive deinterlacing method

Jiaji Wu, Jin Huang, Gwanggil Jeon, Junsang Cho, Jechang Jeong, Licheng Jiao

Author Affiliations +

Funded by: National Natural Science Foundation of China, National Science Foundation of China (NSFC), NSF China, Fundamental Research Funds for the Central Universities

Optical Engineering, Vol. 50, Issue 5, 057001 (May 2011). https://doi.org/10.1117/1.3572125

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jiaji Wu, Jin Huang, Gwanggil Jeon, Junsang Cho, Jechang Jeong, and Licheng Jiao "Adaptive autoregressive deinterlacing method," Optical Engineering 50(5), 057001 (1 May 2011). https://doi.org/10.1117/1.3572125

Published: 1 May 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE