DocumentCode :
854604
Title :
Colour demosaicking method using adaptive cubic convolution interpolation with sequential averaging
Author :
Yu, W.
Author_Institution :
Intelligent Robot Res. Div., Yuseong-Gu Daejeon
Volume :
153
Issue :
5
fYear :
2006
Firstpage :
666
Lastpage :
676
Abstract :
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
Keywords :
convolution; filtering theory; image colour analysis; image reconstruction; image segmentation; image sensors; interpolation; adaptive convolution interpolation; chrominance channels reconstruction; chrominance pixel position; chrominance pixels; colour demosaicking method; colour filter array; cubic convolution interpolation; gradient magnitude; luminance channel estimation; sequential averaging; sequential filtering; single-sensor imaging device;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20050281
Filename :
4027755
Link To Document :
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