@inproceedings{a02bc6ec7ab049359ef0517b4047e3d2,
title = "A study of vignetting correction methods in camera colorimetric calibration",
abstract = "The procedure of colorimetric calibration of the camera ensures accurate and repeatable acquisition of the scene colors. The most common approach defines the calibration only as the color transformation between the camera image colors and colorimetric colors. The only condition for image acquisition is an uniform illumination of the scene. Unfortunately, such assumption does not include many distortions caused by image acquisition. One of them is a vignetting, which can be described as a decrease of the light intensity from the image center to the image corners. This phenomenon causes the same effects as non-uniform illumination, which is the change of color values of the same object depending on image coordinates. This paper is an attempt to analyze the influence of vignetting correction on the results of the camera colorimetric calibration. The conducted experiment in uniform light conditions shows that the improvement of calibration quality depends on the chosen vignetting correction method.",
keywords = "Camera colorimetric calibration, color accuracy, color correction., vignetting correction",
author = "Andrzej Kordecki and Artur Bal and Henryk Palus",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; 9th International Conference on Machine Vision, ICMV 2016 ; Conference date: 18-11-2016 Through 20-11-2016",
year = "2017",
doi = "10.1117/12.2268532",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Nikolaev, \{Dmitry P.\} and Antanas Verikas and Jianhong Zhou and Petia Radeva and Wei Zhang",
booktitle = "Ninth International Conference on Machine Vision, ICMV 2016",
address = "United States",
}