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Subjective image and video quality assessment: methodology review

© 2019 M. A. Grachevaa, V. P. Bozhkovaa, A. A. Kazakovaa,b, G. I. Rozhkovaa

aInstitute for Information Transmission Problems (Kharkevich Institute), Russian Academy of Sciences, 127051 Moscow, B. Karetny per. 19, Build. 1, Russia
bPirogov Russian National Research Medical University, 117997 Moscow, Ostrovitianov str. 1, Russia

Received 10 Apr 2019

Usability of different algorithms elaborated for visual information compression, filtering or transformation is usually compared by means of various methods of assessing the quality of the images obtained as a result of processing. There are two types of such methods – objective and subjective. Objective methods are based on strict mathematical criteria independent of people’s opinions. In contrast, subjective methods are based on the people’s opinions collected in special experiments on image quality assessment. In this brief review, some methodological aspects of the subjective methods are considered. Though the assessment of image quality by means of such methods is in high demand at present, there is little proper literature in Russian for the potential users, having no experience in such investigations. The methods succinctly described here are: ACR – absolute category rating, ACR-HR – absolute category rating with hidden reference, SSCQE – single stimulus continuous quality estimation, DCR – degradation category rating, DSCQR – double stimulus continuous quality rating, PC – pair comparison, PSJ – pairwise similarity judgement, SDSCE – simultaneous double stimulus for continuous evaluation. In addition, some general recommendations are presented on planning and conducting of the experiments, implying participation of many people.

Key words: image quality, subjective image quality assessment, human studies, user studies, experimental design

DOI: 10.1134/S0235009219040036

Cite: Gracheva M. A., Bozhkova V. P., Kazakova A. A., Rozhkova G. I. Subektivnaya otsenka kachestva staticheskikh i videoizobrazhenii: metodologicheskii obzor [Subjective image and video quality assessment: methodology review]. Sensornye sistemy [Sensory systems]. 2019. V. 33(4). P. 287-304 (in Russian). doi: 10.1134/S0235009219040036

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