چکیده (انگلیسی):

The main idea behind wavelet based demosaicing with spatial refinement is to reconstruct the full resolution
color image from the mosaiced image. In this study, a new effective wavelet based demosaicing algorithm for
interpolating the missing color components in Bayer’s Color Filter Array (CFA) pattern is proposed. This
interpolation technique uses the interchannel correlation among the high frequency subbands to determine the
missing pixels in each color channel, followed by a refining step in spatial domain which uses non-iterative
technique that enforces color difference rule with fewer computations. As a result, the proposed demosaicing
method yields better performance than bilinear, edge based and subband based demosaicing methods.