Noise-cancellation-based nonuniformity correction algorithm for infrared focal-plane arrays

2008; Optica Publishing Group; Volume: 47; Issue: 29 Linguagem: Inglês

10.1364/ao.47.005394

ISSN

0003-6935

Autores

Sebastián E. Godoy, Jorge E. Pezoa, Sergio Torres,

Tópico(s)

Thermography and Photoacoustic Techniques

Resumo

The spatial fixed-pattern noise (FPN) inherently generated in infrared (IR) imaging systems compromises severely the quality of the acquired imagery, even making such images inappropriate for some applications. The FPN refers to the inability of the photodetectors in the focal-plane array to render a uniform output image when a uniform-intensity scene is being imaged. We present a noise-cancellation-based algorithm that compensates for the additive component of the FPN. The proposed method relies on the assumption that a source of noise correlated to the additive FPN is available to the IR camera. An important feature of the algorithm is that all the calculations are reduced to a simple equation, which allows for the bias compensation of the raw imagery. The algorithm performance is tested using real IR image sequences and is compared to some classical methodologies.

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