Principal component analysis in limited-angle chromotomography

Jonathan Martin Mooney; Andrzej K. Brodzik; Myoung Hee An

doi:10.1117/12.283825

31 October 1997 Principal component analysis in limited-angle chromotomography

Jonathan Martin Mooney, Andrzej K. Brodzik, Myoung Hee An

Proceedings Volume 3118, Imaging Spectrometry III; (1997) https://doi.org/10.1117/12.283825
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Chromotomographic spectral imaging techniques offer high spatial resolution, moderate spectral resolution and high optical throughput. However, the performance of chromotomographic systems has historically been limited by the artifacts introduced by a cone of missing information. The recent successful application of principal component analysis to spectral imagery indicates that spectral imagery is inherently redundant. We have developed an iterative technique for filling in the missing cone that relies on this redundance. We demonstrate the effectiveness of our approach on measured data, and compare the results to those obtained with a scanned slit configuration.

Citation Download Citation

Jonathan Martin Mooney, Andrzej K. Brodzik, and Myoung Hee An "Principal component analysis in limited-angle chromotomography", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); https://doi.org/10.1117/12.283825

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