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.
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