What Electronic Image Noise Signatures Can Tell Us About Image Linearity and Camera Encoding

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Publisher: SMPTE — White Plains, NY, USA
Doc Type: Conference Paper
Content Type: Original Research
Volume: 2023, No. 10, pp. 12–15
Abstract: Electronic image noise is often categorized as an artifact of image capture which typically requires correction. There are several sources of electronic image noise that contribute to the overall total noise in an image. Some of the noise from specific sources, known as systematic noise, can be corrected for in-camera, but noise due to certain sources, like photon noise, persists after capture and increases with exposure. We study this relationship between exposure and noise and discover that this relationship reveals information about the linearity, or non-linearity of the image encoding.
Publication Date: 2023-10-16
DOI: 10.5594/M002017
ISBN: Print: 978-1-61482-964-5
Link: https://doi.org/10.5594/M002017
Author(s): Ricardo R. FigueroaPhD Rochester Institute of Technology
Keyword(s): Radiometric Calibration, OETF, Camera Response Function (CRF)
Copyright: © 2023 Society of Motion Picture and Television Engineers, Inc.

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Ricardo R. Figueroa; What Electronic Image Noise Signatures Can Tell Us About Image Linearity and Camera Encoding, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002017

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Ricardo R. Figueroa; What Electronic Image Noise Signatures Can Tell Us About Image Linearity and Camera Encoding, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at https://doi.org/10.5594/M002017

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<span class="citation">Ricardo R. Figueroa; <cite>What Electronic Image Noise Signatures Can Tell Us About Image Linearity and Camera Encoding</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5. Available at <a href="https://doi.org/10.5594/M002017" target="_blank" rel="noopener">https://doi.org/10.5594/M002017</a></span>

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Ricardo R. Figueroa; <cite id="bib-10-5594-m002017">What Electronic Image Noise Signatures Can Tell Us About Image Linearity and Camera Encoding</cite>, SMPTE Meetings and Conferences ( October 2023); SMPTE, 2023, ISBN: 978-1-61482-964-5
<span class="doi">10.5594/M002017</span>
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