Analysis of illumination correction error in camera color space

Minji Lee; Byung Uk Lee

doi:10.2352/ISSN.2470-1173.2019.14.COLOR-093

Analysis of illumination correction error in camera color space

Minji Lee, Byung Uk Lee

Electronic and Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Achieving color constancy is an important step to support visual tasks. In general, a linear transformation using a 3× 3 illuminant modeling matrix is applied in the RGB color space of a camera to achieve color balance. Most of the studies for color constancy adopt this linear model, but the relationship of illumination and the camera spectral sensitivity (CSS) is only partially understood. Therefore, in this paper, we analyze linear combination of the illumination spectrum and the CSS using hyperspectral data that have much more information than RGB. After estimating the illumination correction matrix we elucidate the accuracy dependence on illumination spectrum and the camera sensor response, which can be applied to CSS.

Original language	English
Article number	COLOR-093
Journal	IS and T International Symposium on Electronic Imaging Science and Technology
Volume	2019
Issue number	14
DOIs	https://doi.org/10.2352/ISSN.2470-1173.2019.14.COLOR-093
State	Published - 13 Jan 2019
Event	24th Color Imaging: Displaying, Processing, Hardcopy, and Applications Conference, COLOR 2019 - Burlingame, United States Duration: 13 Jan 2019 → 17 Jan 2019

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01057392).

Publisher Copyright:
© 2019, Society for Imaging Science and Technology.

Keywords

Camera spectral sensitivity
Color constancy
Illuminant estimation

Access to Document

10.2352/ISSN.2470-1173.2019.14.COLOR-093

Cite this

@article{d0ca20767b814e11a70e330ea03ce118,

title = "Analysis of illumination correction error in camera color space",

abstract = "Achieving color constancy is an important step to support visual tasks. In general, a linear transformation using a 3× 3 illuminant modeling matrix is applied in the RGB color space of a camera to achieve color balance. Most of the studies for color constancy adopt this linear model, but the relationship of illumination and the camera spectral sensitivity (CSS) is only partially understood. Therefore, in this paper, we analyze linear combination of the illumination spectrum and the CSS using hyperspectral data that have much more information than RGB. After estimating the illumination correction matrix we elucidate the accuracy dependence on illumination spectrum and the camera sensor response, which can be applied to CSS.",

keywords = "Camera spectral sensitivity, Color constancy, Illuminant estimation",

author = "Minji Lee and Lee, {Byung Uk}",

note = "Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01057392). Publisher Copyright: {\textcopyright} 2019, Society for Imaging Science and Technology.; 24th Color Imaging: Displaying, Processing, Hardcopy, and Applications Conference, COLOR 2019 ; Conference date: 13-01-2019 Through 17-01-2019",

year = "2019",

month = jan,

day = "13",

doi = "10.2352/ISSN.2470-1173.2019.14.COLOR-093",

language = "English",

volume = "2019",

journal = "IS and T International Symposium on Electronic Imaging Science and Technology",

issn = "2470-1173",

number = "14",

}

TY - JOUR

T1 - Analysis of illumination correction error in camera color space

AU - Lee, Minji

AU - Lee, Byung Uk

N1 - Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2015R1D1A1A01057392). Publisher Copyright: © 2019, Society for Imaging Science and Technology.

PY - 2019/1/13

Y1 - 2019/1/13

N2 - Achieving color constancy is an important step to support visual tasks. In general, a linear transformation using a 3× 3 illuminant modeling matrix is applied in the RGB color space of a camera to achieve color balance. Most of the studies for color constancy adopt this linear model, but the relationship of illumination and the camera spectral sensitivity (CSS) is only partially understood. Therefore, in this paper, we analyze linear combination of the illumination spectrum and the CSS using hyperspectral data that have much more information than RGB. After estimating the illumination correction matrix we elucidate the accuracy dependence on illumination spectrum and the camera sensor response, which can be applied to CSS.

AB - Achieving color constancy is an important step to support visual tasks. In general, a linear transformation using a 3× 3 illuminant modeling matrix is applied in the RGB color space of a camera to achieve color balance. Most of the studies for color constancy adopt this linear model, but the relationship of illumination and the camera spectral sensitivity (CSS) is only partially understood. Therefore, in this paper, we analyze linear combination of the illumination spectrum and the CSS using hyperspectral data that have much more information than RGB. After estimating the illumination correction matrix we elucidate the accuracy dependence on illumination spectrum and the camera sensor response, which can be applied to CSS.

KW - Camera spectral sensitivity

KW - Color constancy

KW - Illuminant estimation

UR - http://www.scopus.com/inward/record.url?scp=85080043349&partnerID=8YFLogxK

U2 - 10.2352/ISSN.2470-1173.2019.14.COLOR-093

DO - 10.2352/ISSN.2470-1173.2019.14.COLOR-093

M3 - Conference article

AN - SCOPUS:85080043349

SN - 2470-1173

VL - 2019

JO - IS and T International Symposium on Electronic Imaging Science and Technology

JF - IS and T International Symposium on Electronic Imaging Science and Technology

IS - 14

M1 - COLOR-093

T2 - 24th Color Imaging: Displaying, Processing, Hardcopy, and Applications Conference, COLOR 2019

Y2 - 13 January 2019 through 17 January 2019

ER -

Analysis of illumination correction error in camera color space

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this