Non-uniformity Correction of Infrared Images by Midway Equalization
Yohann Tendero, Stéphane Landeau, Jérôme Gilles
→ BibTeX
@article{ipol.2012.glmt-mire,
    title   = {{Non-uniformity Correction of Infrared Images by Midway Equalization}},
    author  = {Tendero, Yohann and Landeau, Stéphane and Gilles, Jérôme},
    journal = {{Image Processing On Line}},
    volume  = {2},
    pages   = {134--146},
    year    = {2012},
    doi     = {10.5201/ipol.2012.glmt-mire},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2012.glmt-mire}}
published
2012-07-12
reference
Yohann Tendero, Stéphane Landeau, and Jérôme Gilles, Non-uniformity Correction of Infrared Images by Midway Equalization, Image Processing On Line, 2 (2012), pp. 134–146. https://doi.org/10.5201/ipol.2012.glmt-mire

Communicated by Jean-Michel Morel
Demo edited by Yohann Tendero

Abstract

The non-uniformity is a time-dependent noise caused by the lack of sensor equalization.

We present here the detailed algorithm and on line demo of the non-uniformity correction method by midway infrared equalization. This method was designed to suit infrared images. Nevertheless, it can be applied to images produced for example by scanners, or by push-broom satellites.

The obtained single image method works on static images, is fully automatic, having no user parameter, and requires no registration. It needs no camera motion compensation, no closed aperture sensor equalization and is able to correct for a fully non-linear non-uniformity.

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