Subjective assessment of global picture-wise just noticeable difference

Hanhe Lin, Mohsen Jenadeleh, Guangan Chen, Ulf Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe

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

6 Citations (Scopus)


The picture-wise just noticeable difference (PJND) for a given image and a compression scheme is a statistical quantity giving the smallest distortion that a subject can perceive when the image is compressed with the compression scheme. The PJND is determined with subjective assessment tests for a sample of subjects. We introduce and apply two methods of adjustment where the subject interactively selects the distortion level at the PJND using either a slider or keystrokes. We compare the results and times required to those of the adaptive binary search type approach, in which image pairs with distortions that bracket the PJND are displayed and the difference in distortion levels is reduced until the PJND is identified. For the three methods, two images are compared using the flicker test in which the displayed images alternate at a frequency of 8 Hz. Unlike previous work, our goal is a global one, determining the PJND not only for the original pristine image but also for a sequence of compressed versions. Results for the MCL-JCI dataset show that the PJND measurements based on adjustment are comparable with those of the traditional approach using binary search, yet significantly faster. Moreover, we conducted a crowdsourcing study with side-byside comparisons and forced choice, which suggests that the flicker test is more sensitive than a side-by-side comparison.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Number of pages6
ISBN (Electronic)978-1-7281-1485-9
ISBN (Print)978-1-7281-1486-6
Publication statusPublished - Jul 2020
Event2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020 - London, United Kingdom
Duration: 6 Jul 202010 Jul 2020


Conference2020 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2020
Country/TerritoryUnited Kingdom


  • Flicker test
  • JPEG
  • Just noticeable difference
  • Paired comparison
  • Subjective quality assessment

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Media Technology


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