Subjective Quality Assessment of Ground-based Camera Images

Autor:	Lévêque, Lucie, Dev, Soumyabrata, Hossari, Murhaf, Lee, Yee Hui, Winkler, Stefan
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: Published in Proc. Progress In Electromagnetics Research Symposium (PIERS), 2019
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1912.07192 Zobrazit plný text záznamu View this record from Arxiv