  Smartphone is the superstar product in digital device market and the quality
of smartphone camera photos (SCPs) is becoming one of the dominant
considerations when consumers purchase smartphones. How to evaluate the quality
of smartphone cameras and the taken photos is urgent issue to be solved. To
bridge the gap between academic research accomplishment and industrial needs,
in this paper, we establish a new Smartphone Camera Photo Quality Database
(SCPQD2020) including 1800 images with 120 scenes taken by 15 smartphones.
Exposure, color, noise and texture which are four dominant factors influencing
the quality of SCP are evaluated in the subjective study, respectively. Ten
popular no-reference (NR) image quality assessment (IQA) algorithms are tested
and analyzed on our database. Experimental results demonstrate that the current
objective models are not suitable for SCPs, and quality metrics having high
correlation with human visual perception are highly needed.
