Deriving color images from noisy Bayer data using local demosaicking and non-local denoising

A widely used solution for cost effective and small cameras are single sensors with a color filter array (CFA). The most popular type of CFA is the Bayer color filter array. Only red, green and blue color components are passed to the sensor depending on their coordinates. In this paper a new method is presented to derive color images from noisy Bayer filtered data. The denoising and interpolation steps are done separately, using local techniques for color interpolation and non-local filters for denoising. The advantage of the method are less blurring and reduced color artifacts especially for highly textured images as compared to methods using local filtering for denoising.