NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement,
  and Light Suppression
Silvano A. Bernabel Sos S. Agaian
This paper tackles the intricate challenge of improving the quality of
nighttime images under hazy and low-light conditions. Overcoming issues
including nonuniform illumination glows, texture blurring, glow effects, color
distortion, noise disturbance, and overall, low light have proven daunting.
Despite the inherent difficulties, this paper introduces a pioneering solution
named Nighttime Dehazing, Low-Light Enhancement, and Light Suppression (NDELS).
NDELS utilizes a unique network that combines three essential processes to
enhance visibility, brighten low-light regions, and effectively suppress glare
from bright light sources. In contrast to limited progress in nighttime
dehazing, unlike its daytime counterpart, NDELS presents a comprehensive and
innovative approach. The efficacy of NDELS is rigorously validated through
extensive comparisons with eight state-of-the-art algorithms across four
diverse datasets. Experimental results showcase the superior performance of our
method, demonstrating its outperformance in terms of overall image quality,
including color and edge enhancement. Quantitative (PSNR, SSIM) and qualitative
metrics (CLIPIQA, MANIQA, TRES), measure these results.