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Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking

Title
Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking
Author
정제창
Keywords
Color filter array (CFA) interpolation; demosaicking; multidirectoinal weighted interpolation
Issue Date
2015-08
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v. 25, NO 8, Page. 1271-1282
Abstract
This paper presents a novel multidirectional weighted interpolation algorithm for color filter array interpolation. Our proposed method has two contributions to demosaicking. First, different from conventional interpolation methods based on two directions or four directions, the proposed method exploits to greater degree correlations among neighboring pixels along eight directions to improve the interpolation performance. Second, we propose an efficient postprocessing method to reduce interpolation artifacts based on the color difference planes. Compared with conventional state-of-the-art demosaicking algorithms, our experimental results show the proposed algorithm provides superior performance in both objective and subjective image quality. Furthermore, this implementation has moderate computational complexity.
URI
http://ieeexplore.ieee.org/abstract/document/6778804/http://hdl.handle.net/20.500.11754/27006
ISSN
1051-8215; 1558-2205
DOI
10.1109/TCSVT.2014.2313896
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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