Colorimetric Analysis Using Scene-Adaptive Color Conversion Matrix of Calibrated CIS
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-11
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The RGB signals of different CISs (color image sensors) do not register the same values for the same viewing scene owing to their different spectral sensitivity and white balance mechanisms.
Thus, CISs must be characterized based on CIE standard observation for colorimetric purposes.
One general method for characterizing CISs is least square polynomial modeling to derive the colorimetric transfer matrix between RGB outputs and CIE XYZ tristimulus inputs.
However, the transfer matrix that is obtained under the standard CIE illumination is unable to estimate various conditions of a CIS that is operated under various illuminations with varying chromaticity and luminance.
Therefore, repeated experiments are necessary to obtain accurate colorimetric analysis results.
This paper presents a scene-adaptive colorimetric analysis method using images captured by a general consumer camera under various environments.
American Psychological Association (APA)
Lee, Sung-Hak. 2016. Colorimetric Analysis Using Scene-Adaptive Color Conversion Matrix of Calibrated CIS. Journal of Sensors،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110565
Modern Language Association (MLA)
Lee, Sung-Hak. Colorimetric Analysis Using Scene-Adaptive Color Conversion Matrix of Calibrated CIS. Journal of Sensors No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1110565
American Medical Association (AMA)
Lee, Sung-Hak. Colorimetric Analysis Using Scene-Adaptive Color Conversion Matrix of Calibrated CIS. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1110565
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110565