  Image defogging is a technique used extensively for enhancing visual quality
of images in bad weather condition. Even though defogging algorithms have been
well studied, defogging performance is degraded by demosaicking artifacts and
sensor noise amplification in distant scenes. In order to improve visual
quality of restored images, we propose a novel approach to perform defogging
and demosaicking simultaneously. We conclude that better defogging performance
with fewer artifacts can be achieved when a defogging algorithm is combined
with a demosaicking algorithm simultaneously. We also demonstrate that the
proposed joint algorithm has the benefit of suppressing noise amplification in
distant scene. In addition, we validate our theoretical analysis and
observations for both synthesized datasets with ground truth fog-free images
and natural scene datasets captured in a raw format.
