2 December 2013 Bad pixel correction method for locally analytic images: application to infrared spectroscopy
Piotr Skibinski, Czeslaw Radzewicz
Author Affiliations +
Abstract
We describe a new bad pixel correction algorithm designed originally to correct two-dimensional images containing high-fidelity spectroscopic data. Our method can be used to correct images with significant rates of adjacent bad pixels or bad pixel clusters such as taken by infrared focal plane arrays. It is applicable to any image data that can be locally approximated by a second-degree polynomial. A filter performing the correction can be easily implemented in programmable hardware utilizing very little resources. The accuracy of the method is analyzed and its performance tested on real spectroscopic data.
© 2013 SPIE and IS&T 0091-3286/2013/$25.00 © 2013 SPIE and IS&T
Piotr Skibinski and Czeslaw Radzewicz "Bad pixel correction method for locally analytic images: application to infrared spectroscopy," Journal of Electronic Imaging 22(4), 043020 (2 December 2013). https://doi.org/10.1117/1.JEI.22.4.043020
Published: 2 December 2013
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Infrared spectroscopy

Image analysis

Spectroscopy

Sensors

Cameras

Algorithm development

Infrared imaging

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