Image demosaicking based on moving least square

  • Wang, Jin
  • Jeong, Je chang
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초록

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.

키워드

Moving least squareDemosaickingColor channelReal time processFILTERINTERPOLATION
제목
Image demosaicking based on moving least square
저자
Wang, JinJeong, Je chang
DOI
10.1007/s12652-020-01843-0
발행일
2021-00
유형
Article; Early Access
저널명
Journal of Ambient Intelligence and Humanized Computing