Noise reduction in thermal images

Sebastian Budzan; Roman Wyżgolik

doi:10.1007/978-3-319-11331-9_15

Noise reduction in thermal images

Katedra Pomiarów i Systemów Sterowania (RAU/RAU2)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

14 Cytowania z bazy Scopus

Abstrakt

In this cognitive work we focused on investigation of some filters used for image processing in application for noise removal in IR images. In IR imaging the choice of filter depends mainly on the purpose of the processing, e.g. detection of small objects in complex images, edge and contour detection or removal of non-uniformity of the detector array. The performance of the selected noise reduction filters was evaluated using PSNR and RMSE quality measure. The results are shown only for few images from our database which contain over 2000 of IR images.

Język oryginału	angielski
Strony (od–do)	116-123
Liczba stron	8
Czasopismo	Lecture Notes in Computer Science
Tom	8671
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-11331-9_15
Status publikacji	Opublikowano - 2014

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

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10.1007/978-3-319-11331-9_15

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Cytowanie

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title = "Noise reduction in thermal images",

abstract = "In this cognitive work we focused on investigation of some filters used for image processing in application for noise removal in IR images. In IR imaging the choice of filter depends mainly on the purpose of the processing, e.g. detection of small objects in complex images, edge and contour detection or removal of non-uniformity of the detector array. The performance of the selected noise reduction filters was evaluated using PSNR and RMSE quality measure. The results are shown only for few images from our database which contain over 2000 of IR images.",

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year = "2014",

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AU - Budzan, Sebastian

AU - Wyżgolik, Roman

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AB - In this cognitive work we focused on investigation of some filters used for image processing in application for noise removal in IR images. In IR imaging the choice of filter depends mainly on the purpose of the processing, e.g. detection of small objects in complex images, edge and contour detection or removal of non-uniformity of the detector array. The performance of the selected noise reduction filters was evaluated using PSNR and RMSE quality measure. The results are shown only for few images from our database which contain over 2000 of IR images.

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DO - 10.1007/978-3-319-11331-9_15

M3 - Article

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

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Noise reduction in thermal images

Abstrakt

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