High Dynamic Range (HDR) imaging captures a wide range of luminance existing in real-world scenes. Due to large luminance levels and higher brightness of HDR displays, artefacts can be more noticeable to the Human Visual System (HVS). In a first attempt to experimentally quantify those noticeable levels for HDR images, we pioneered in conducting an exhaustive and comprehensive Just Noticeable Difference (JND) subjective experiment of which the outcome is presented in this paper. Six distortions including JPEG, JPEG2000, noise, blur, contrast change, and quantization artefacts have been considered in the test. The distortions were applied to 10 HDR images in 100 distortion levels resulting a database of 6000 HDR test images. The subjects were asked to find the image JND location on each set of 100 images they had the freedom to explore. The effect of content features on the noticeable threshold selection is investigated per distortion type. Our results in some cases show a significant correlation between content features and JNDs. We are hoping that our results can contribute to further exploitation of a precise HVS model for HDR quality assessment and optimization of the coding and bit allocation in HDR compression.
Original languageEnglish
Title of host publication2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018
PublisherIEEE
Pages1-6
ISBN (Electronic)978-1-5386-2604-7, 2472-7814
ISBN (Print)9781538626054
DOIs
Publication statusPublished - 11 Sep 2018
Event2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) - Flamingo Hotel, Santa Margherita di Pula, Italy
Duration: 29 May 20181 Jun 2018
Conference number: 10
http://www.qomex2018.org

Publication series

Name2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018

Conference

Conference2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)
Abbreviated titleQoMEX
CountryItaly
CitySanta Margherita di Pula
Period29/05/181/06/18
Internet address

    Research areas

  • HDR, Subjective quality assessment, JND, QoE

ID: 38090997