Image demosaicking based on moving least square
- Authors
- Wang, Jin; Jeong, Je chang
- Issue Date
- 2021
- Publisher
- SPRINGER HEIDELBERG
- Keywords
- Moving least square; Demosaicking; Color channel; Real time process
- Citation
- JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2816
- DOI
- 10.1007/s12652-020-01843-0
- ISSN
- 1868-5137
- Abstract
- We present a demosaicking method based on moving least square to estimate to-be-interpolated color pixels. Demosaicking is a severely ill-posed problem and we need to reconstruct two color channels for each pixel. To predict the missing color pixels using the given color pixels, we rely on a generic local approximation function using moving least square. We assume that image details have similar geometric structure in a local region, and we utilize moving least square to represent this geometric feature. Experimental results indicate that the proposed method outperforms existing approaches in both objective and subjective performance.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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