publication . Conference object . Article . 2018

A Just Noticeable Difference Subjective Test For High Dynamic Range Images

Ayyoub Ahar; Saeed Mahmoudpour; Glenn Van Wallendael; Tom Paridaens; Peter Lambert; Peter Schelkens;
Open Access
  • Published: 20 Jul 2018
  • Publisher: Zenodo
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 ...
free text keywords: Distortion, Human visual system model, Luminance, Computer science, JPEG, computer.file_format, computer, High dynamic range, Image resolution, Computer vision, Transform coding, Just-noticeable difference, Artificial intelligence, business.industry, business
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Funded by
EC| ImmersiaTV
Immersive Experiences around TV, an integrated toolset for the production and distribution of immersive and interactive content across devices.
  • Funder: European Commission (EC)
  • Project Code: 688619
  • Funding stream: H2020 | IA
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Open Access
Conference object . 2018
Provider: Datacite
Open Access
Conference object . 2018
Provider: ZENODO
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