&lt;title&gt;Nonlinear spatial filtering of FLIR images&lt;/title&gt;

María José Pérez-Luque; Carlos Quiterio Gómez Muñoz; Narciso Garcı́a

doi:10.1117/12.24207

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<title>Nonlinear spatial filtering of FLIR images</title>

María José Pérez-Luque Carlos Quiterio Gómez Muñoz Narciso Garcı́a

Year: 1990 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1360 Pages: 188-199 Publisher: SPIE

DOI: 10.1117/12.24207

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Abstract

FLIR images contain a high level of noise, mainly caused by the acquisition system. Different classical non linear filters have been proposed to reduce this noise. Here, those having the best performance have been selected, studied in depth, and evaluated using statistical and subjective criteria. The best filters were AM and DWMTM, on which a detailed comparison study was carried out, finally choosing the AM one.

Keywords:

Noise (video) Artificial intelligence Computer science Computer vision Nonlinear system Pattern recognition (psychology) Image (mathematics) Physics

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Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

<title>Nonlinear spatial filtering of FLIR images</title>

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