  Image quality assessment is critical to control and maintain the perceived
quality of visual content. Both subjective and objective evaluations can be
utilised, however, subjective image quality assessment is currently considered
the most reliable approach. Databases containing distorted images and mean
opinion scores are needed in the field of atmospheric research with a view to
improve the current state-of-the-art methodologies. In this paper, we focus on
using ground-based sky camera images to understand the atmospheric events. We
present a new image quality assessment dataset containing original and
distorted nighttime images of sky/cloud from SWINSEG database. Subjective
quality assessment was carried out in controlled conditions, as recommended by
the ITU. Statistical analyses of the subjective scores showed the impact of
noise type and distortion level on the perceived quality.
