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Journal Article Colour Demosaicking Method using Adaptive Cubic Convolution Interpolation with Sequential Averaging
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Authors
W. Yu
Issue Date
2006-10
Citation
IEE Proceedings : Vision, Image and Signal Processing, v.153, no.5, pp.666-676
ISSN
1350-245X
Publisher
IET
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/ip-vis:20050281
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. © The Institution of Engineering and Technology 2006.
KSP Keywords
Correlation-based, Cubic convolution, Gradient Magnitude, Imaging device, Sequential Filtering, Spectral Correlation, colour filter array