Comparative Study of Demosaicing Algorithms for Bayer and Pseudo-Random Bayer Color Filter Arrays

The image registration by digital cameras and video cameras requires digital filters to be posed onto the photo-sensitive sensors (CCD and CMOS). The filters are arranged in patterns across the face of the image sensing array. The most commonly used color filter array is Bayer pattern. An alternative of this pattern is a Pseudo-Random Bayer color filter array (CFA). Its structure differs considerably from the regular structure of the original Bayer filter. The purpose of this research is to present a comparison and evaluation of both color filters, based on two criteria: an objective – peak signal-to-noise ratio (PSNR) and subjective (visual quality). The filters efficiency is assessed by experimental studies on a set of test images – vector and real photographic ones. The results obtained during the experiments are presented and discussed.