Joint Denoising and Demosaicking of Raw Video Sequences

Antoni Buades, Joan Duran

Abstract: The demosaicking provokes the spatial and color correlation of noise, which is afterwards enhanced by the imaging pipeline. The correct removal previous or simultaneously with the demosaicking process is not usually considered in the literature. We present a novel joint demosaicking and denoising algorithm for image sequences. The proposed algorithm uses a spatio-temporal patch method modifying all pixels, including those of the Bayer CFA. However, only original values are considered for averaging. The experimentation, including real examples, illustrates how a joint denoising and demosaicking algorithm avoids the creation of artifacts and colored spots in the final image.