CUID: A New Study of Perceived Image Quality and Its Subjective Assessment

Lucie Leveque, Ji Yang, Xiaohan Yang, Pengfei Guo, Kenneth Dasalla, Leida Li, Yingying Wu, Hantao Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research on image quality assessment (IQA) remains limited mainly due to our incomplete knowledge about human visual perception. Existing IQA algorithms have been designed or trained with insufficient subjective data with a small degree of stimulus variability. This has led to challenges for those algorithms to handle complexity and diversity of real-world digital content. Perceptual evidence from human subjects serves as a grounding for the development of advanced IQA algorithms. It is thus critical to acquire reliable subjective data with controlled perception experiments that faithfully reflect human behavioural responses to distortions in visual signals. In this paper, we present a new study of image quality perception where subjective ratings were collected in a controlled lab environment. We investigate how quality perception is affected by a combination of different categories of images and different types and levels of distortions. The database will be made publicly available to facilitate calibration and validation of IQA algorithms.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PublisherIEEE
Pages116-120
Number of pages5
Volume2020
ISBN (Electronic)9781728163956
DOIs
Publication statusPublished - 31 Dec 2020
Event2020 IEEE International Conference on Image Processing, ICIP 2020 - Virtual, Abu Dhabi, UAE United Arab Emirates
Duration: 25 Sep 202028 Sep 2020

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2020-October
ISSN (Print)1522-4880

Conference

Conference2020 IEEE International Conference on Image Processing, ICIP 2020
CountryUAE United Arab Emirates
CityVirtual, Abu Dhabi
Period25/09/2028/09/20

Keywords

  • Image quality assessment
  • mean opinion score
  • objective metric
  • subjective testing
  • visual perception

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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