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 proceedingConference contribution

3 Citations (Scopus)
596 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 languageEnglish
Title of host publication2016 3rd International Conference on Information Science and Control Engineering (ICISCE)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-58
Number of pages5
ISBN (Electronic)978-1-5090-2535-0
ISBN (Print)978-1-5090-2536-7
DOIs
Publication statusPublished - 03 Nov 2016
Event3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China
Duration: 08 Jul 201610 Jul 2016

Conference

Conference3rd International Conference on Information Science and Control Engineering, ICISCE 2016
CountryChina
CityBeijing
Period08/07/201610/07/2016

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

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