A Method for Color Calibration Based on Simulated Annealing Optimization

Haifeng Yu; Tian Cao; Bo Li; Rong Dong; Huiyu Zhou

doi:10.1109/ICISCE.2016.22

A Method for Color Calibration Based on Simulated Annealing Optimization

Haifeng Yu, Tian Cao, Bo Li^*, Rong Dong, Huiyu Zhou

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

690 Downloads (Pure)

Abstract

To accurately reproduce colors, it is necessary to calibrate a digital camera that is used to acquire images. The traditional calibration methods have been used to build a color correction model that has a transformation matrix mapping data from a RGB image to standard XYZ tristimulus. Determination of this matrix is performed through matrix transformation from each color checker patch to its corresponding actual XYZ value, using least-squares regression. However, these methods cannot effectively minimize the CIE DE error because of these algorithms' limitations and CCD dark currents, which can be hard to accurately measure. In this paper, a new color correction model is presented for color calibration and helps minimize the CIEDE2000 error in order to achieve higher color fidelity. Experimental results show that our method significantly outperforms other algorithms.

Original language	English
Title of host publication	2016 3rd International Conference on Information Science and Control Engineering (ICISCE)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	54-58
Number of pages	5
ISBN (Electronic)	978-1-5090-2535-0
ISBN (Print)	978-1-5090-2536-7
DOIs	https://doi.org/10.1109/ICISCE.2016.22
Publication status	Published - 03 Nov 2016
Event	3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China Duration: 08 Jul 2016 → 10 Jul 2016

Conference

Conference	3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Country/Territory	China
City	Beijing
Period	08/07/2016 → 10/07/2016

Keywords

CCD dark current
CIEDE2000 color difference formula
Color correction model
Minimize the mean CIE DE error

ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Artificial Intelligence
Information Systems
Computer Networks and Communications
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICISCE.2016.22Licence: Unspecified

A Method for Color Calibration Based on Simulated Annealing Optimization
Copyright IEEE 2016. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 419 KBLicence: Unspecified

Cite this

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title = "A Method for Color Calibration Based on Simulated Annealing Optimization",

abstract = "To accurately reproduce colors, it is necessary to calibrate a digital camera that is used to acquire images. The traditional calibration methods have been used to build a color correction model that has a transformation matrix mapping data from a RGB image to standard XYZ tristimulus. Determination of this matrix is performed through matrix transformation from each color checker patch to its corresponding actual XYZ value, using least-squares regression. However, these methods cannot effectively minimize the CIE DE error because of these algorithms' limitations and CCD dark currents, which can be hard to accurately measure. In this paper, a new color correction model is presented for color calibration and helps minimize the CIEDE2000 error in order to achieve higher color fidelity. Experimental results show that our method significantly outperforms other algorithms.",

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author = "Haifeng Yu and Tian Cao and Bo Li and Rong Dong and Huiyu Zhou",

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booktitle = "2016 3rd International Conference on Information Science and Control Engineering (ICISCE)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "3rd International Conference on Information Science and Control Engineering, ICISCE 2016 ; Conference date: 08-07-2016 Through 10-07-2016",

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Yu, H, Cao, T, Li, B, Dong, R & Zhou, H 2016, A Method for Color Calibration Based on Simulated Annealing Optimization. in 2016 3rd International Conference on Information Science and Control Engineering (ICISCE)., 7726119, Institute of Electrical and Electronics Engineers Inc., pp. 54-58, 3rd International Conference on Information Science and Control Engineering, ICISCE 2016, Beijing, China, 08/07/2016. https://doi.org/10.1109/ICISCE.2016.22

A Method for Color Calibration Based on Simulated Annealing Optimization. / Yu, Haifeng; Cao, Tian; Li, Bo; Dong, Rong; Zhou, Huiyu.

2016 3rd International Conference on Information Science and Control Engineering (ICISCE). Institute of Electrical and Electronics Engineers Inc., 2016. p. 54-58 7726119.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Yu, Haifeng

AU - Cao, Tian

AU - Li, Bo

AU - Dong, Rong

AU - Zhou, Huiyu

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N2 - To accurately reproduce colors, it is necessary to calibrate a digital camera that is used to acquire images. The traditional calibration methods have been used to build a color correction model that has a transformation matrix mapping data from a RGB image to standard XYZ tristimulus. Determination of this matrix is performed through matrix transformation from each color checker patch to its corresponding actual XYZ value, using least-squares regression. However, these methods cannot effectively minimize the CIE DE error because of these algorithms' limitations and CCD dark currents, which can be hard to accurately measure. In this paper, a new color correction model is presented for color calibration and helps minimize the CIEDE2000 error in order to achieve higher color fidelity. Experimental results show that our method significantly outperforms other algorithms.

AB - To accurately reproduce colors, it is necessary to calibrate a digital camera that is used to acquire images. The traditional calibration methods have been used to build a color correction model that has a transformation matrix mapping data from a RGB image to standard XYZ tristimulus. Determination of this matrix is performed through matrix transformation from each color checker patch to its corresponding actual XYZ value, using least-squares regression. However, these methods cannot effectively minimize the CIE DE error because of these algorithms' limitations and CCD dark currents, which can be hard to accurately measure. In this paper, a new color correction model is presented for color calibration and helps minimize the CIEDE2000 error in order to achieve higher color fidelity. Experimental results show that our method significantly outperforms other algorithms.

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KW - CIEDE2000 color difference formula

KW - Color correction model

KW - Minimize the mean CIE DE error

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A Method for Color Calibration Based on Simulated Annealing Optimization

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Keywords

ASJC Scopus subject areas

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