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Proceedings Paper

Improvement on the polynomial modeling of digital camera colorimetric characterization
Author(s): Xiaoqiao Huang; Hongfei Yu; Junsheng Shi; Yonghang Tai
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Paper Abstract

The digital camera has become a requisite for people’s life, also essential in imaging applications, and it is important to get more accurate colors with digital camera. The colorimetric characterization of digital camera is the basis of image copy and color management process. One of the traditional methods for deriving a colorimetric mapping between camera RGB signals and the tristimulus values CIEXYZ is to use polynomial modeling with 3×11 polynomial transfer matrices. In this paper, an improved polynomial modeling is presented, in which the normalized luminance replaces the camera inherent RGB values in the traditional polynomial modeling. The improved modeling can be described by a two stage model. The first stage, relationship between the camera RGB values and normalized luminance with six gray patches in the X-rite ColorChecker 24-color card was described as "Gamma", camera RGB values were converted into normalized luminance using Gamma. The second stage, the traditional polynomial modeling was improved to the colorimetric mapping between normalized luminance and the CIEXYZ. Meanwhile, this method was used under daylight lighting environment, the users can not measure the CIEXYZ of the color target char using professional instruments, but they can accomplish the task of the colorimetric characterization of digital camera. The experimental results show that: (1) the proposed method for the colorimetric characterization of digital camera performs better than traditional polynomial modeling; (2) it’s a feasible approach to handle the color characteristics using this method under daylight environment without professional instruments, the result can satisfy for request of simple application.

Paper Details

Date Published: 4 November 2014
PDF: 7 pages
Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92733L (4 November 2014); doi: 10.1117/12.2071903
Show Author Affiliations
Xiaoqiao Huang, Yunnan Normal Univ. (China)
Hongfei Yu, Yunnan Normal Univ. (China)
Junsheng Shi, Yunnan Normal Univ. (China)
Yonghang Tai, Yunnan Normal Univ. (China)


Published in SPIE Proceedings Vol. 9273:
Optoelectronic Imaging and Multimedia Technology III
Qionghai Dai; Tsutomu Shimura, Editor(s)

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