Fast disambiguation of superimposed images for increased field of view

Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, Rebecca M. Willett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Many infrared optical systems in wide-ranging applications such as surveillance and security frequently require large fields of view. Often this necessitates a focal plane array (FPA) with a large number of pixels, which, in general, is very expensive. In this paper, we propose a method for increasing the field of view without increasing the pixel resolution of the FPA by superimposing the multiple subimages within a scene and disambiguating the observed data to reconstruct the original scene. This technique, in effect, allows each subimage of the scene to share a single FPA, thereby increasing the field of view without compromising resolution. To disambiguate the subimages, we develop wavelet regularized reconstruction methods which encourage sparsity in the solution. We present results from numerical experiments that demonstrate the effectiveness of this approach.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages2620-2623
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Image reconstruction
  • Image sampling
  • Video cameras

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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