Spectral object recognition in hyperspectral holography with complex-domain denoising

Igor Shevkunov, Vladimir Katkovnik, Daniel Claus, Giancarlo Pedrini, Nikolay V. Petrov, Karen Egiazarian

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
14 Downloads (Pure)


In this paper, we have applied a recently developed complex-domain hyperspectral denoiser for the object recognition task, which is performed by the correlation analysis of investigated objects’ spectra with the fingerprint spectra from the same object. Extensive experiments carried out on noisy data from digital hyperspectral holography demonstrate a significant enhancement of the recognition accuracy of signals masked by noise, when the advanced noise suppression is applied.

Original languageEnglish
Article number5188
Number of pages10
JournalSensors (Switzerland)
Issue number23
Publication statusPublished - 26 Nov 2019
Publication typeA1 Journal article-refereed


  • Hyperspectral imaging
  • Noise filtering
  • Noise in imaging systems
  • Singular value decomposition
  • Sparse representation

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering


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