A Block-Wise Autoregression-Based Deinterlacing Algorithm

Author

Jin Wang ; Gwanggil Jeon ; Jechang Jeong

Author_Institution

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

Volume

10

Issue

5

fYear

2014

fDate

May-14

Firstpage

414

Lastpage

419

Abstract

This paper introduces an autoregression-based single-field deinterlacing algorithm. The proposed algorithm provides a block-wise autoregression mechanism that considers mutual influence between the missing high-resolution pixels and the given interlaced, low-resolution pixels in a slip window. This method is compared with other benchmark methods in terms of PSNR, implementing speed, and subjective performance. It is found that, with the proposed algorithm, common artifacts such as serration, line crawl, and flicker are significantly reduced.

Keywords

autoregressive processes; image resolution; interpolation; block-wise autoregression-based single-field deinterlacing algorithm; flicker reduction; format conversion; interlaced pixels; line crawl reduction; low-resolution pixels; missing high-resolution pixels; mutual influence; serration reduction; slip window; Algorithm design and analysis; Design automation; Image edge detection; PSNR; Signal processing algorithms; Solid modeling; Visualization; Deinterlacing; autoregression; covariance; format conversion;

fLanguage

English

Journal_Title

Display Technology, Journal of

Publisher

ieee

ISSN

1551-319X

Type

jour

DOI

10.1109/JDT.2013.2293762

Filename

6678520