High-throughput hyperspectral imaging with tomographic reconstruction for weak signal sources

Research output: Contribution to conferencePaperpeer-review


This paper presents a novel technique for wide field hyperspectral imaging using a tomographic approach which yields superior throughput over the conventional schemes; an attribute that is highly desirable in spectral imaging of low signal-to-noise ratio sources. This technique is capable of simultaneous multi-object spectroscopy on point sources and imaging spectroscopy of faint diffuse emissions, and consequently has applications in astrophysical and space remote imaging at ultraviolet (UV) and optical wavelengths. Unlike conventional hyperspectral imaging techniques which faster the scene through a slit spectrograph over some time, this method encodes three dimensions of data (two spatial and one spectral) into a two-dimensional signal, using an optical system where photons from the entire scene are collected at all times. Inversion of this data back into the three-dimensional space is accomplished by formulating a tomographic reconstruction problem. Intrinsic presence of noise, however, poses difficulties on conventional inversion methods such as the filtered back-projection (FBP) or the minimum norm least squares methods such that they often produce unacceptable results. This limitation is overcome by incorporation of regularization schemes, minimizing appropriate ℓ1 and ℓ2 norm functionals. Through simulations the performance of this technique is demonstrated quantitatively in comparison with conventional spectral imaging techniques.

Original languageEnglish (US)
Number of pages4
StatePublished - 2001
EventIEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001


OtherIEEE International Conference on Image Processing (ICIP) 2001

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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