ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Colour Demosaicking Method using Adaptive Cubic Convolution Interpolation with Sequential Averaging
Cited 7 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
유원필
발행일
200610
출처
IEE Proceedings : Vision, Image and Signal Processing, v.153 no.5, pp.666-676
ISSN
1350-245X
출판사
IET
DOI
https://dx.doi.org/10.1049/ip-vis:20050281
협약과제
06MI1200, URC를 위한 내장형 컴포넌트 기술개발 및 표준화, 조영조
초록
Colour demosaicking refers to the process used to estimate missing colour components at each pixel position in a single-sensor imaging device equipped with a colour filter array. The proposed method starts the demosaicking process by estimating the luminance channel, which utilises cubic convolution interpolation along the direction of the smallest gradient magnitude at each chrominance pixel position. Reconstruction of chrominance channels comprises spectral correlation-based average of neighbouring chrominance pixels and sequential filtering on the reconstructed chrominance channels. The sequential filtering can be regarded as a postprocessing stage and effectively smears out colour artefacts. Experimental results show the effectiveness of this approach. © The Institution of Engineering and Technology 2006.
KSP 제안 키워드
Correlation-based, Cubic convolution, Gradient Magnitude, Imaging device, Sequential Filtering, Spectral Correlation, colour filter array