De-Interlacing Algorithm Using Weighted Least Squares
- Title
- De-Interlacing Algorithm Using Weighted Least Squares
- Author
- 정제창
- Keywords
- De-interlacing; interpolation; least squares; maximum a posteriori (MAP) estimator; DEINTERLACING ALGORITHM; INTERPOLATION; SEQUENCES; QUALITY; DIRECTION
- Issue Date
- 2014-01
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
- Citation
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY; JAN 2014, Vol.24, No.1, p39-p48, 10p.
- Abstract
- This paper presents a weighted least squares-based intrafield de-interlacing algorithm. First, we formulate the estimation of the missing pixels as a maximum a posteriori (MAP) framework. We deduce the weighted least squares structure from MAP based on the analysis of the statistic model of the original high-resolution images and the associated statistical model of the given low-resolution images and original high-resolution images. The weights affect the estimation of the statistical model. We also design adaptive weights to match regions with different properties. The method is compared with other de-interlacing algorithms in terms of PSNR and SSIM objective quality measures and de-interlacing speed. It was found to provide excellent performance and the best quality-speed tradeoff among the methods studied.
- URI
- http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6587763http://hdl.handle.net/20.500.11754/47505
- ISSN
- 1051-8215
- DOI
- 10.1109/TCSVT.2013.2280068
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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