Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Noise modeling and estimation in image sequences from thermal infrared cameras

[+] Author Affiliations
Luciano Alparone

Univ. degli Studi di Firenze (Italy)

Giovanni Corsini, Marco Diani

Univ. di Pisa (Italy)

Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, 381 (November 10, 2004); doi:10.1117/12.567998
Text Size: A A A
From Conference Volume 5573

  • Image and Signal Processing for Remote Sensing X
  • Lorenzo Bruzzone
  • Maspalomas, Canary Islands, Spain | September 13, 2004

abstract

In this paper we present an automated procedure devised to measure noise variance and correlation from a sequence, either temporal or spectral, of digitized images acquired by an incoherent imaging detector. The fundamental assumption is that the noise is signal-independent and stationary in each frame, but may be non-stationary across the sequence of frames. The idea is to detect areas within bivariate scatterplots of local statistics, corresponding to statistically homogeneous pixels. After that, the noise PDF, modeled as a parametric generalized Gaussian function, is estimated from homogeneous pixels. Results obtained applying the noise model to images taken by an IR camera operated in different environmental conditions are presented and discussed. They demonstrate that the noise is heavy-tailed (tails longer than those of a Gaussian PDF) and spatially autocorrelated. Temporal correlation has been investigated as well and found to depend on the frame rate and, by a small extent, on the wavelength of the thermal radiation.

© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Luciano Alparone ; Giovanni Corsini and Marco Diani
"Noise modeling and estimation in image sequences from thermal infrared cameras", Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, 381 (November 10, 2004); doi:10.1117/12.567998; http://dx.doi.org/10.1117/12.567998


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.