Multiresolution denoising of CCD thermal images for improved spatial temperature resolution

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Abstract

This paper deals with the enhancement of CCD- (charge-coupled device) based thermal images by applying multiresolution image denoising methods. The main focus of this experimental work lies in the attempt to determine and visualize the surface temperature of heated metal parts in the temperature range of approx. 300°C to 500°C. The aim is measurement of the temperature distribution of metallic objects at the lower physical limits of silicon based detectors at a very high spatial resolution. It is shown that the examined filter methods lead to an improved spatial temperature resolution (NETD, noise equivalent temperature difference) that is highly reproducible. A precondition for correct application of these denoising filters is an exact noise characterization of the imaging system. This noise characterization is based on the 'Photon Transfer Technique' which clearly demonstrates the Poisson characteristic to be the determining factor of the image formation process, i.e. the random nature of photon emission and detection is the dominant source of noise in the imaging system presented. Based on these results, examples for density and intensity estimates of Poisson noise images with multiresolution methods (wavelets, platelets) are presented, showing the improved image quality and temperature resolution after the denoising process.

Original languageEnglish
Title of host publicationWavelets in Industrial Applications
Number of pages12
Volume6001
DOIs
Publication statusPublished - 2005
EventSPIE Optics East 2005 - Boston, United States
Duration: 23 Oct 200526 Oct 2005
http://spie.org/x16338.xml

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
ISSN (Print)0277-786X

Conference

ConferenceSPIE Optics East 2005
CountryUnited States
CityBoston
Period23.10.200526.10.2005
Internet address

Keywords

  • CCD thermal image
  • Multiresolution denoising
  • Platelet
  • Spectral imaging
  • Wavelet

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