Computational Hyperspectral Phase Retrieval for Band-Limited Spectral Imaging

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Abstract

We consider an application of a recently developed hyperspectral phase retrieval (HSPhR) algorithm for band-limited spectral imaging, where only six wavelengths are used instead of a continuous spectrum. The HS phase retrieval problem is considered as a reconstruction of the HS complex-valued object from encoded real-valued intensity observations with Gaussian noise. HSPhR is an iterative algorithm based on a complex domain version of the alternating direction method of multipliers, the spectral proximity operators derived for Gaussian observations, and complex-valued 3D denoising. The simulation test and experimental results demonstrate high-quality spectral resolution and phase imaging.

Original languageEnglish
Title of host publication2023 International Symposium on Image and Signal Processing and Analysis (ISPA)
Subtitle of host publicationProceedings
PublisherIEEE
Pages1-6
ISBN (Electronic)9798350315363
DOIs
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventInternational Symposium on Image and Signal Processing and Analysis (ISPA) - Rome, Italy
Duration: 18 Sept 202319 Sept 2023

Publication series

NameInternational Symposium on Image and Signal Processing and Analysis
ISSN (Print)1845-5921
ISSN (Electronic)1849-2266

Conference

ConferenceInternational Symposium on Image and Signal Processing and Analysis (ISPA)
Country/TerritoryItaly
CityRome
Period18/09/2319/09/23

Keywords

  • ADMM
  • Hyperspectral imaging
  • noise filtering
  • phase imaging
  • proximity operator

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing

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