@inproceedings{8ae60ecbc514466a95178674785bbd8b,
title = "Local polynomial model: A new approach to vignetting correction",
abstract = "The vignetting refers to the fall-off of pixel intensity from the center towards the edges of the image. The correction of vignetting is a required pre-processing step in many applications of machine vision. In this paper, we propose a new local polynomial model of vignetting. The order of the polynomial is a parameter of the model and allows to fit the model to the real vignetting of the camera-lens system. The novelty of the proposed model is a usage of local fitting of the model to vignetting data, in contrast to the global models described in the literature. The new model was tested on two camera-lens systems with radial and non-radial vignetting, and has been compared with methods known from the literature. Based on the obtained results the proposed model gives the best quality of vignetting correction among the tested models of vignetting.",
keywords = "Vignetting correction, approximation function, image entropy., vignetting modeling",
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 = "10.1117/12.2268566",
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",
}