Paper
17 March 2017 Local polynomial model: a new approach to vignetting correction
Author Affiliations +
Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103412C (2017) https://doi.org/10.1117/12.2268566
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrzej Kordecki, Artur Bal, and Henryk Palus "Local polynomial model: a new approach to vignetting correction", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103412C (17 March 2017); https://doi.org/10.1117/12.2268566
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Cited by 2 scholarly publications.
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KEYWORDS
Vignetting

Cameras

Systems modeling

Data modeling

Visual process modeling

Imaging systems

Image visualization

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