A Hybrid Algorithm Using Maximum a Posteriori for Interlaced to Progressive Scanning Format Conversion

Title
A Hybrid Algorithm Using Maximum a Posteriori for Interlaced to Progressive Scanning Format Conversion
Authors
정제창
Keywords
Bayesian theorem; maximum a posteriori (MAP); deinterlacing; super resolution
Issue Date
2015-02
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
JOURNAL OF DISPLAY TECHNOLOGY, v. 11, Page. 183-192
Abstract
This paper presents a maximum a posteriori (MAP) based intra-field deinterlacing algorithm. In the proposed algorithm, we propose a hybrid approach composed by point-wise and patch-wise measurements. The estimation of the missing pixel is formulated as an MAP and minimizing the energy function. By utilizing Bayes theory and some prior knowledge, the missing pixel is estimated with a statistical-based approach and we model the residual of the images as Gaussian and Laplacian distribution. Under the MAP framework, the desired deinterlaced image corresponds to the optimal reconstruction given the interlaced low resolution image. Compared with existing deinterlacing algorithms, the proposed algorithm improves peak signal-to-noise-ratio and the structural similarity while maintaining high efficiency.
URI
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6945779http://hdl.handle.net/20.500.11754/22256
ISSN
1551-319X; 1558-9323
DOI
http://dx.doi.org/10.1109/JDT.2014.2366997
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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