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Smartphone is the superstar product in digital device market and the qualityof smartphone camera photos (SCPs) is becoming one of the dominantconsiderations when consumers purchase smartphones. How to evaluate the qualityof smartphone cameras and the taken photos is urgent issue to be solved. Tobridge 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 influencingthe quality of SCP are evaluated in the subjective study, respectively. Tenpopular no-reference (NR) image quality assessment (IQA) algorithms are testedand analyzed on our database. Experimental results demonstrate that the currentobjective models are not suitable for SCPs, and quality metrics having highcorrelation with human visual perception are highly needed.

A multiple attributes image quality database for smartphone camera photo quality assessment