Study of Subjective Data Integrity for Image Quality Data Sets with Consumer Camera Content.

ABSTRACT: We need data sets of images and subjective scores to develop robust no reference (or blind) visual quality metrics for consumer applications. These applications have many uncontrolled variables because the camera creates the original media and the impairment simultaneously. We do not fully understand how this impacts the integrity of our subjective data. We put forward two new data sets of images from consumer cameras. The first data set, CCRIQ2, uses a strict experiment design, more suitable for camera performance evaluation. The second data set, VIME1, uses a loose experiment design that resembles the behavior of consumer photographers. We gather subjective scores through a subjective experiment with 24 participants using the Absolute Category Rating method. We make these two new data se

SUBMITTER: Nawala J 

PROVIDER: S-EPMC8321034 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature