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Subjective assessment of global picture-wise just noticeable difference

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

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    Duration: 09:28
10 Jul 2020

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 with 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 the traditional one using binary search, yet significantly faster. Moreover, we conducted a crowdsourcing study with side-by-side comparisons and forced choice, which suggests that the flicker test is more sensitive than a side-by-side comparison.

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