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Calibrated image appearance reproduction

Research output: Contribution to journalArticle

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Calibrated image appearance reproduction. / Reinhard, Erik; Pouli, F T; Kunkel, Timo D; Long, Benjamin J O; Ballestad, Anders; Damberg, Gerwin.

In: ACM Transactions on Graphics, Vol. 31, No. 6, 201, 11.2012.

Research output: Contribution to journalArticle

Harvard

Reinhard, E, Pouli, FT, Kunkel, TD, Long, BJO, Ballestad, A & Damberg, G 2012, 'Calibrated image appearance reproduction' ACM Transactions on Graphics, vol 31, no. 6, 201. DOI: 10.1145/2366145.2366220

APA

Reinhard, E., Pouli, F. T., Kunkel, T. D., Long, B. J. O., Ballestad, A., & Damberg, G. (2012). Calibrated image appearance reproduction. ACM Transactions on Graphics, 31(6), [201]. DOI: 10.1145/2366145.2366220

Vancouver

Reinhard E, Pouli FT, Kunkel TD, Long BJO, Ballestad A, Damberg G. Calibrated image appearance reproduction. ACM Transactions on Graphics. 2012 Nov;31(6). 201. Available from, DOI: 10.1145/2366145.2366220

Author

Reinhard, Erik; Pouli, F T; Kunkel, Timo D; Long, Benjamin J O; Ballestad, Anders; Damberg, Gerwin / Calibrated image appearance reproduction.

In: ACM Transactions on Graphics, Vol. 31, No. 6, 201, 11.2012.

Research output: Contribution to journalArticle

Bibtex

@article{52ff253afa7f45ac8e534e05f851cc20,
title = "Calibrated image appearance reproduction",
abstract = "Managing the appearance of images across different display environments is a difficult problem, exacerbated by the proliferation of high dynamic range imaging technologies. Tone reproduction is often limited to luminance adjustment and is rarely calibrated against psychophysical data, while color appearance modeling addresses color reproduction in a calibrated manner, albeit over a limited luminance range. Only a few image appearance models bridge the gap, borrowing ideas from both areas. Our take on scene reproduction reduces computational complexity with respect to the state-of-the-art, and adds a spatially varying model of lightness perception. The predictive capabilities of the model are validated against all psychophysical data known to us, and visual comparisons show accurate and robust reproduction for challenging high dynamic range scenes.",
author = "Erik Reinhard and Pouli, {F T} and Kunkel, {Timo D} and Long, {Benjamin J O} and Anders Ballestad and Gerwin Damberg",
note = "Proceedings of SIGGRAPH Asia",
year = "2012",
month = "11",
doi = "10.1145/2366145.2366220",
volume = "31",
journal = "ACM Transactions on Graphics",
issn = "0730-0301",
publisher = "Association for Computing Machinery (ACM)",
number = "6",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Calibrated image appearance reproduction

AU - Reinhard,Erik

AU - Pouli,F T

AU - Kunkel,Timo D

AU - Long,Benjamin J O

AU - Ballestad,Anders

AU - Damberg,Gerwin

N1 - Proceedings of SIGGRAPH Asia

PY - 2012/11

Y1 - 2012/11

N2 - Managing the appearance of images across different display environments is a difficult problem, exacerbated by the proliferation of high dynamic range imaging technologies. Tone reproduction is often limited to luminance adjustment and is rarely calibrated against psychophysical data, while color appearance modeling addresses color reproduction in a calibrated manner, albeit over a limited luminance range. Only a few image appearance models bridge the gap, borrowing ideas from both areas. Our take on scene reproduction reduces computational complexity with respect to the state-of-the-art, and adds a spatially varying model of lightness perception. The predictive capabilities of the model are validated against all psychophysical data known to us, and visual comparisons show accurate and robust reproduction for challenging high dynamic range scenes.

AB - Managing the appearance of images across different display environments is a difficult problem, exacerbated by the proliferation of high dynamic range imaging technologies. Tone reproduction is often limited to luminance adjustment and is rarely calibrated against psychophysical data, while color appearance modeling addresses color reproduction in a calibrated manner, albeit over a limited luminance range. Only a few image appearance models bridge the gap, borrowing ideas from both areas. Our take on scene reproduction reduces computational complexity with respect to the state-of-the-art, and adds a spatially varying model of lightness perception. The predictive capabilities of the model are validated against all psychophysical data known to us, and visual comparisons show accurate and robust reproduction for challenging high dynamic range scenes.

U2 - 10.1145/2366145.2366220

DO - 10.1145/2366145.2366220

M3 - Article

VL - 31

JO - ACM Transactions on Graphics

T2 - ACM Transactions on Graphics

JF - ACM Transactions on Graphics

SN - 0730-0301

IS - 6

M1 - 201

ER -