Noise reduction in thermal images

Sebastian Budzan; Roman Wyżgolik

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

Noise reduction in thermal images

Department of Measurements and Control Systems (RAU/RAU2)

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

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.

Original language	English
Pages (from-to)	116-123
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	8671
DOIs	https://doi.org/10.1007/978-3-319-11331-9_15
Publication status	Published - 2014

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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

Cite this

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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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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

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VL - 8671

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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

Abstract

ASJC Scopus subject areas

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