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  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
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      "source": "parsed",
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    "abstract": "In this study, we explore the performance of applying dither when quantizing high-dynamic range (HDR) achromatic images to lower bit depths and found that by applying “perceptual dither,” or dither in the International Telecommunication Union – Radiocommunication (ITU-R) BT.2100 ICTCP color representation, the bit depth necessary for visually consistent reproduction is reduced by 2 bits. We conclude that using perceptual dithering, the precision of a 10-bit source signal with only 8 bits, or the precision of a 12-bit source signal with only 10 bits, can be achieved.",
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    "authors": [
      {
        "bio": "Robin Atkins is the director of the Applied Vision Science Group at Dolby Laboratories, Sunnyvale, CA, leading a team of researchers responsible for innovating new visual experiences and inventing video processing algorithms. His research encompasses studying and modeling the fundamentals of human vision through to developing complex software platforms. His work has been adopted in multiple international standards and has been integrated into millions of professional and consumer devices worldwide. He has degrees in engineering physics and electrical engineering.",
        "name": "Robin Atkins",
        "orcid": "0000-0001-9884-1286"
      },
      {
        "bio": "Robert Wanat received a PhD degree in computer science from Bangor University, Wales, U.K., in 2015, after receiving an MSc degree in computer science from the West Pomeranian University of Technology, Szczecin, Poland, in 2011. Since 2015, he has been a color scientist for Applied Vision Science Group at Dolby Laboratories, Sunnyvale, CA, where his research focused on visual perception, image quality, high-dynamic range (HDR) imaging, and deep learning. His work is incorporated in the Dolby Vision IQ algorithm and other parts of the Dolby Vision ecosystem.",
        "name": "Robert Wanat"
      },
      {
        "bio": "Jaclyn Pytlarz is a staff researcher at Dolby Laboratories, Sunnyvale, CA, where she has worked within Dolby’s Applied Vision Science group since 2014. Her research includes vision science surrounding color mapping and display management algorithms for high-dynamic range and wide-color-gamut displays. She holds a BS degree in motion picture science from the Rochester Institute of Technology, Rochester, NY, and an MS degree in computational and mathematical engineering from Stanford University, Stanford, CA. She was awarded the IET Best Young Professional Award and the TVNewsCheck Technology Woman to Watch Award and is currently serving on the Education Advisory Committee for the Society of Motion Picture and Television Engineers.",
        "name": "Jaclyn Pytlarz"
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508114.xml) via idamsIngest.js",
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      "holder": "SMPTE",
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508114.xml) via idamsIngest.js",
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      "year": "2021",
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    "docId": "10.5594-JMI.2021.3087824",
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    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021)",
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    "docTitle": "Perceptually Dithered HDR for 8-Bit Interfaces",
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    "doi": "10.5594/JMI.2021.3087824",
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    "href": "https://doi.org/10.5594/JMI.2021.3087824",
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      "electronic": "2160-2492",
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      "print": "1545-0279",
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    "journalAcronym": "MIJR",
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    "journalTitle": "SMPTE Motion Imaging Journal",
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    "keywords": [
      "Banding",
      "Dithering",
      "HDR",
      "Quantization"
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      "confidence": "high",
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    "number": "7",
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    "pages": "62–68",
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    "publicationDate": "2021-08-01",
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