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Hybrid Directional Weight-based Demosaicking for Bayer Color Filter Array

Authors
Kim, YonghoonJeong, Je chang
Issue Date
Apr-2015
Publisher
INASE Organizing Committee
Keywords
Bayer pattern CFA; CFA interpolation; demosaicking; directional interpolation
Citation
The 2015 International Conference on Systems, Control, Signal Processing and Informatics (INASE 2015), pp.184 - 190
Indexed
OTHER
Journal Title
The 2015 International Conference on Systems, Control, Signal Processing and Informatics (INASE 2015)
Start Page
184
End Page
190
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157440
Abstract
This paper proposes and improves gradient estimation techniques in order to suppress the common demosaicking artifacts and introduces hybrid directional weights for adaptive directional interpolation. The hybrid weights are calculated using color correlation and intensity differences, and these weights apply to the whole interpolation process. Experimental results demonstrate that the proposed algorithm outperforms recent demosaicking methods on 42 images of Kodak and McM datasets.
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