color interpolation method of Bayer CF used in
most digital cameras plays an important role in imaging system.
In Bayer pattern, the green components are the twice as much
as red or blue and contain more image information, which can
be used to compensate the interpolations of red and blue. Due to
the high correlation among the three color channels, color
mutation is prevented by the xed color dierence. Based on
these principles, the proposed interpolation algorithm estimates
green component rstly with adapted color plane interpolation
algorithm, then computes the color difference image and
to interpolate the full resolution difference image with the
compensation of interpolated and edge adaptive method.
Edge blurring problem is addressed by using edge judgment to
estimate Color distortion is reduced using color difference
interpolation procedure. Experimental results show that the
proposed algorithm outperforms existing typical interpolation
methods in terms of image quality and peak signal-to-noise ratio
and also computational complexity is low.
IEEE