NTIRE 2020 Challenge on NonHomogeneous Dehazing
This work addresses image restoration for computer vision applications, but it is incremental as it focuses on benchmarking existing methods on a new dataset.
The paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing, which tackled the problem of restoring details in hazy images using a novel dataset of 55 real image pairs, with 27 teams competing and the solutions gauging state-of-the-art performance.
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing.