Opinion-unaware no-reference image quality assessment of smartphone camera images based on aesthetics and human perception

Zifeng Yuan, Yi Qi, Menghan Hu, Qingli Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this work, we evaluate the quality of images taken by smartphone cameras. By extracting localized features from different contents, images can be analyzed in terms of exposure, noise, color and texture. Coarse-grained method, which simulates the Ising model system, is utilized to evaluate the exposure performance. Gabor transform and Tamura texture features, which imitate the human visual perception, are used to grade noise and texture. For color, hue histograms are adopted. Comparing our computational result with the ranking given by experts, it is found that the averaged SROCC values are greater than 0.35.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114859
DOIs
StatePublished - Jul 2020
Event2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020 - London, United Kingdom
Duration: 6 Jul 202010 Jul 2020

Publication series

Name2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020

Conference

Conference2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020
Country/TerritoryUnited Kingdom
CityLondon
Period6/07/2010/07/20

Keywords

  • Coarse-grained method
  • Gabor transform
  • Hue histogram
  • Opinion-unaware IQA
  • Tamura texture features

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