The goal of this work is to improve the visual quality of restored images. We propose a novel approach to perform defogging and demosaicking simultaneously in digital camera's image processing pipeline. 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 scenes. In addition, we validate our theoretical analysis and observations for both synthesized data sets with ground truth fog-free images and natural scene data sets captured in a raw format.

  • Foggy Dataset [download]

  • jdd-results


    [1] Y. Lee, K. Hirakawa, and T. Nguyen, "Joint Defogging and Demosaicking", TIP, Nov. 2016. [link][pdf]