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Proceedings Paper

Improved color demosaicking in weak spectral correlation
Author(s): Fan Zhang; Xiaolin Wu; Xiaokang Yang; Wenjun Zhang
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Paper Abstract

Almost all existing color demosaicking algorithms for digital cameras are designed on the assumption of high correlation between red, green, blue (or some other primary color) bands. They exploit spectral correlations between the primary color bands to interpolate the missing color samples. The interpolation errors increase in areas of no or weak spectral correlations. Consequently, objectionable artifacts tend to occur on highly saturated colors and in the presence of large sensor noises, whenever the assumption of high spectral correlations does not hold. This paper proposes a remedy to the above problem that has long been overlooked in the literature. The main contribution of this work is a technique of correcting the interpolation errors of any existing color demosaicking algorithm by piecewise autoregressive modeling.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68221N (28 January 2008); doi: 10.1117/12.774155
Show Author Affiliations
Fan Zhang, Shanghai Jiaotong Univ. (China)
Xiaolin Wu, McMaster Univ. (Canada)
Xiaokang Yang, Shanghai Jiaotong Univ. (China)
Wenjun Zhang, Shanghai Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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