@inproceedings{063e7360959f425cb24f5cd01f92153f,
title = "Computational Hyperspectral Phase Retrieval for Band-Limited Spectral Imaging",
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.",
keywords = "ADMM, Hyperspectral imaging, noise filtering, phase imaging, proximity operator",
author = "Igor Shevkunov and Vladimir Katkovnik and Karen Egiazarian",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; International Symposium on Image and Signal Processing and Analysis (ISPA) ; Conference date: 18-09-2023 Through 19-09-2023",
year = "2023",
doi = "10.1109/ISPA58351.2023.10278579",
language = "English",
series = "International Symposium on Image and Signal Processing and Analysis",
publisher = "IEEE",
pages = "1--6",
booktitle = "2023 International Symposium on Image and Signal Processing and Analysis (ISPA)",
address = "United States",
}