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    "abstract": "This paper presents how all camera raw formats work in common, and also the different approaches used by several vendors to preserve the highest fidelity image information, while managing the large amounts of data required to represent those images. Camera raw workflows provide a variety of techniques to convert from the sensor data into RGB image formats suitable for mastering, along with methods for generating a specific “look” to the images. The tremendous dynamic range afforded by a camera raw format permits a wide range of exposure during acquisition, which can be mapped into either the limited standard dynamic range of conventional output image formats or leveraged for use in the new High Dynamic Range (HDR) image formats. However, looks and camera specifications can be deceiving and one must know what is happening within the workflow to obtain the best image quality.",
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    "authors": [
      {
        "affiliation": "GoPro, 66 Hollins Drive, Santa Cruz, CA 95060",
        "bio": "Edward Reuss is an independent consultant specializing in video, audio and Wi-Fi networks, particularly for very low latency applications. Earning his MSEE at Colorado State University, Ed started in test and measurement, for Hewlett Packard (Agilent), Tektronix and Wavetek. He worked at General Instrument on the Eurocypher project for British Satellite Broadcasting (BSB). After several years developing scientific instruments at Scripps Institution of Oceanography, he was a Director of Systems Engineering at Tiernan Communications, developing real-time MPEG-2 video encoders for DSNG and network distribution. He switched to consumer products as a Principal Engineer in Plantronics' Advanced Technology Group, where he developed several advanced technology prototype headsets incorporating DSP, Bluetooth and Wi-Fi. Since then, he has consulted for several clients, including GoPro, Clair Global, TiVo and Intel. Ed is active in the SMPTE Standards Community, a senior member of the IEEE and voting member of the IEEE 802.11 Working Group.",
        "name": "Edward Reuss"
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      {
        "affiliation": "Adobe, 1050 B Pu'u Road, Kalaheo, HI 96741 USA",
        "bio": "Lars Borg is a Principal Scientist in Digital Video and Audio Engineering at Adobe. Borg, who joined Adobe in 1989, develops solutions and standards in the areas of high dynamic range, wide color gamut, Ultra-High Definition TV, digital cinema, digital imaging, color processing, color management, video compression, metadata, and holds over 40 patents in related areas. Borg was a key contributor developing the Academy Color Encoding System, created the CinemaDNG format, is active in SMPTE standards committees, and is the chairman of a SMPTE group on Dynamic Metadata for Color Transforms. Borg holds an M.S. in electrical engineering from Royal Institute of Technology, Stockholm, Sweden.",
        "name": "Lars Borg"
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Conference Repository/Conference Papers/2015/7398355/7398356/07398459.xml) via idamsIngest.js",
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      "holder": "Society of Motion Picture and Television Engineers, Inc.",
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Conference Repository/Conference Papers/2015/7398355/7398356/07398459.xml) via idamsIngest.js",
        "source": "parsed",
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        "version": "smpte-idams-publication@v1"
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      "year": "2015",
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Conference Repository/Conference Papers/2015/7398355/7398356/07398459.xml) via idamsIngest.js",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Conference Repository/Conference Papers/2015/7398355/7398356/07398459.xml) via idamsIngest.js",
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      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "docTitle": "Camera Raw for High Dynamic Range Workflows",
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    "keywords": [
      "Camera Raw",
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    "number": "07",
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      "source": "parsed",
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    "pages": "1–11",
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    "publicationDate": "2015-07-14",
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    "publisher": "SMPTE",
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        "note": "References parsed from the published PDF (Conference Repository/Conference Papers/2015/7398355/7398356/07398459.pdf), unnumbered bibliography. SMPTE's library delivery has no reference file or full text for this paper (src/main/reports/smpte-upstream/referenceFilesTruthTable.md). Cross-check: Crossref lists 13 reference(s) for this DOI; 10 parsed from the PDF.",
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