A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Mot. Imag. J
- Volume
- 126, No. 4, pp. 47–58
- Abstract
- Quality is easy to recognize by the eye. Quantifying it can be more problematic. For high dynamic range (HDR), it is even harder because convenient methods, such as peak signal-to-noise ratio and structural similarity metric, do not work well. Some newer HDR-aware metrics are now available; however, they can be slow and computationally cumbersome, therefore discouraging use in realtime monitoring. This paper introduces an alternative, simpler technique that could be used in post-production and realtime monitoring during distribution. Specifically, this paper presents a biologically inspired method of creating a “spatial detail” representation that can be used instead of the original HDR image as a basis for quantifying video distortions and artifacts. Simple correlation analysis of the luma spatial detail signal yields an intuitive and sensitive metric of distortion in HDR video. As an added benefit, the spatial detail signal provides a guide that enables distortions in HDR highlights to be evaluated separately from the remainder of the video.
- Publication Date
- 2017-05-01
- DOI
10.5594/JMI.2017.2673718- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2017.2673718
- Author(s)
- Sean T. McCarthy
- Keyword(s)
- HDR, Spatial Detail, Ultrahigh Dynamic (UHD), Video Distortion, Video Quality, Wide Color Gamut
- Copyright
- © 2017 SMPTE
Bibliographic Reference(s)
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Sean T. McCarthy; A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 4, 2017); SMPTE, 2017. Available at https://doi.org/10.5594/JMI.2017.2673718
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Sean T. McCarthy; A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 4, 2017); SMPTE, 2017. Available at https://doi.org/10.5594/JMI.2017.2673718
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Sean T. McCarthy; A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 4, 2017); SMPTE, 2017. Available at https://doi.org/10.5594/JMI.2017.2673718
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<span class="citation">Sean T. McCarthy; <cite>A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier</cite>, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 4, 2017); SMPTE, 2017. Available at <a href="https://doi.org/10.5594/JMI.2017.2673718" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2017.2673718</a></span>
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Sean T. McCarthy; A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 4, 2017); SMPTE, 2017
doi: 10.5594/JMI.2017.2673718
url: https://doi.org/10.5594/JMI.2017.2673718
doi: 10.5594/JMI.2017.2673718
url: https://doi.org/10.5594/JMI.2017.2673718
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<li> Sean T. McCarthy; <cite id="bib-10-5594-jmi-2017-2673718">A Biologically-Inspired Approach to Making HDR Video Quality Assessment Easier</cite>, SMPTE Motion Imaging Journal ( Volume: 126, Issue: 4, 2017); SMPTE, 2017 <span class="doi">10.5594/JMI.2017.2673718</span> </li>