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SMPTE Meetings and Conferences ( October 2017)
[ACTIVE]

Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Conference Paper
Content Type
Original Research
Volume
2017, No. 10, pp. 1–14
Abstract
Gamut mapping transforms colors of the original (image or video) content to the color palette of the display device with the simultaneous goals of (a) reproducing content accurately while preserving the artistic intent of the original content's creator and (b) exploiting the full color rendering potential of the target display device. The rapid advancement in display technologies has created a pressing need to develop automatic and fast gamut mapping algorithms that can deal with imagery intended for both conventional and emerging displays. In this paper, we propose a novel framework based on retinal and color perception models from vision science that offers a functionality to perform both gamut reduction and gamut extension, while preserving hue and taking into account the analysis of the colors of the input image. We evaluate the performance of the proposed framework visually and by using a perceptually-based error metric, according to which the gamut-mapped results of our framework outperform those of the state-of-the-art methods.
Publication Date
2017-10-23
DOI
10.5594/M001806
ISBN
Print: 978-1-61482-959-1
Link
https://doi.org/10.5594/M001806
Author(s)
Syed Waqas ZamirUniversitat Pompeu Fabra, Barcelona, Spain
Javier Vazquez-CorralUniversitat Pompeu Fabra, Barcelona, Spain
Marcelo BertalmioUniversitat Pompeu Fabra, Barcelona, Spain
Keyword(s)
Gamut Mapping, Wide Color Gamut, Color Reproduction
Copyright
© 2017 Society of Motion Picture and Television Engineers, Inc.
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Syed Waqas Zamir, Javier Vazquez-Corral, and Marcelo Bertalmio; Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at https://doi.org/10.5594/M001806
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Syed Waqas Zamir, Javier Vazquez-Corral, and Marcelo Bertalmio; Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at https://doi.org/10.5594/M001806

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Syed Waqas Zamir, Javier Vazquez-Corral, and Marcelo Bertalmio; Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at https://doi.org/10.5594/M001806
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<span class="citation">Syed Waqas Zamir, Javier Vazquez-Corral, and Marcelo Bertalmio; <cite>Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models</cite>, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at <a href="https://doi.org/10.5594/M001806" target="_blank" rel="noopener">https://doi.org/10.5594/M001806</a></span>

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Preview:
Syed Waqas Zamir, Javier Vazquez-Corral, and Marcelo Bertalmio; Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1
doi: 10.5594/M001806
url: https://doi.org/10.5594/M001806
Snippet:
<li>
Syed Waqas Zamir, Javier Vazquez-Corral, and Marcelo Bertalmio; <cite id="bib-10-5594-m001806">Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models</cite>, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1
<span class="doi">10.5594/M001806</span>
</li>