Markov random field processing for color demosaicing
In digital color imaging, color filter arrays (CFAs) are obtained from single-chip cameras in the form of sampled spectral components (red, green and blue) in an interleaved fashion. Color demosaicing is the process of interpolating these CFAs into dense pixel maps for each spectral component. There are different interpolation techniques for color demosaicing operations. These approaches have their limitations regarding the improvement of the quality of the images. Particularly, they perform poorly in recovering the edges of the images. In this work we have applied Markov random field (MRF) processing over these roughly interpolated images obtained by the existing techniques to improve the quality of the reconstruction. We have observed that the processing improves the image quality in many cases. Particularly the edges of the reconstructed images are significantly enhanced using MRF processing. (C) 2001 Elsevier Science B.V All rights reserved.
color demosaicing digital color imaging color filter array (cfa) markov random field (mrf) color interpolation gibbs distribution simulated annealing stochastic relaxation