Noise characterization of weighting schemes for combination of multiple exposures

Kristian Kirk; Hans Jørgen Andersen

Noise characterization of weighting schemes for combination of multiple exposures

Computer Graphics Group

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

33 Citationer (Scopus)

Abstract

A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with different exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the differently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.

Originalsprog	Engelsk
Titel	British Machine Vision Conference 2006
Redaktører	M. J. Chantler, E. Trucco, R. B. Fisher
Antal sider	10
Vol/bind	3
Forlag	British Machine Vision Association
Publikationsdato	2006
Sider	1129-1138
ISBN (Trykt)	1904410146
Status	Udgivet - 2006
Begivenhed	BMVC 2006 - Edinburgh, Storbritannien Varighed: 4 sep. 2006 → 7 sep. 2006

Konference

Konference	BMVC 2006
Land/Område	Storbritannien
By	Edinburgh
Periode	04/09/2006 → 07/09/2006

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http://www.cvmt.dk/~kirk/publications/BMVC2006paper.pdf

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Citationsformater

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title = "Noise characterization of weighting schemes for combination of multiple exposures",

abstract = "A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with different exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the differently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.",

author = "Kristian Kirk and Andersen, {Hans J{\o}rgen}",

year = "2006",

language = "English",

isbn = "1904410146",

volume = "3",

pages = "1129--1138",

editor = "Chantler, {M. J.} and E. Trucco and Fisher, {R. B.}",

booktitle = "British Machine Vision Conference 2006",

publisher = "British Machine Vision Association",

note = "BMVC 2006 ; Conference date: 04-09-2006 Through 07-09-2006",

}

Noise characterization of weighting schemes for combination of multiple exposures. / Kirk, Kristian; Andersen, Hans Jørgen.
British Machine Vision Conference 2006. red. / M. J. Chantler; E. Trucco; R. B. Fisher. Bind 3 British Machine Vision Association, 2006. s. 1129-1138.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Noise characterization of weighting schemes for combination of multiple exposures

AU - Kirk, Kristian

AU - Andersen, Hans Jørgen

PY - 2006

Y1 - 2006

N2 - A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with different exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the differently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.

AB - A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with different exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the differently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.

M3 - Article in proceeding

SN - 1904410146

VL - 3

SP - 1129

EP - 1138

BT - British Machine Vision Conference 2006

A2 - Chantler, M. J.

A2 - Trucco, E.

A2 - Fisher, R. B.

PB - British Machine Vision Association

T2 - BMVC 2006

Y2 - 4 September 2006 through 7 September 2006

ER -

Noise characterization of weighting schemes for combination of multiple exposures

Abstract

Konference

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