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Plug-And-Play Algorithm Coupled with Low-Rank Quadratic Envelope Regularization for Compressive Spectral Imaging

Bacca, Jorge ; Carlsson, Marcus LU ; Monroy, Brayan and Arguello, Henry (2024) 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings p.2505-2509
Abstract

This paper introduces a plug-and-play algorithm for enhancing compressive spectral imaging (CSI) through the integration of both a quadratic envelope (QE) regularizer and a deep prior. Our method employs the QE-based regularizer to foster a low-rank structure in conjunction with deep priors, synergistically integrated within a Plug-and-Play (PnP) framework. The distinct advantage of our chosen QE-regularizer is its propensity for uncovering low-rank solutions devoid of bias, distinguishing it from the nuclear norm. Through this fusion of QE and deep priors, we harness the complementary strengths of both techniques, resulting in a mutually reinforcing effect for CSI.

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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Compressive Spectral Imaging, Low-Rank Priors, Plug-and-Play ADMM, Quadratic Envelope Regularization
host publication
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
series title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
pages
5 pages
conference name
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
conference location
Seoul, Korea, Republic of
conference dates
2024-04-14 - 2024-04-19
external identifiers
  • scopus:105001659351
ISSN
1520-6149
DOI
10.1109/ICASSP48485.2024.10447145
language
English
LU publication?
yes
id
0a95a752-f455-4d93-bccd-ec886846407d
date added to LUP
2025-09-11 11:08:53
date last changed
2025-10-14 09:41:17
@inproceedings{0a95a752-f455-4d93-bccd-ec886846407d,
  abstract     = {{<p>This paper introduces a plug-and-play algorithm for enhancing compressive spectral imaging (CSI) through the integration of both a quadratic envelope (QE) regularizer and a deep prior. Our method employs the QE-based regularizer to foster a low-rank structure in conjunction with deep priors, synergistically integrated within a Plug-and-Play (PnP) framework. The distinct advantage of our chosen QE-regularizer is its propensity for uncovering low-rank solutions devoid of bias, distinguishing it from the nuclear norm. Through this fusion of QE and deep priors, we harness the complementary strengths of both techniques, resulting in a mutually reinforcing effect for CSI.</p>}},
  author       = {{Bacca, Jorge and Carlsson, Marcus and Monroy, Brayan and Arguello, Henry}},
  booktitle    = {{ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  issn         = {{1520-6149}},
  keywords     = {{Compressive Spectral Imaging; Low-Rank Priors; Plug-and-Play ADMM; Quadratic Envelope Regularization}},
  language     = {{eng}},
  pages        = {{2505--2509}},
  series       = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
  title        = {{Plug-And-Play Algorithm Coupled with Low-Rank Quadratic Envelope Regularization for Compressive Spectral Imaging}},
  url          = {{http://dx.doi.org/10.1109/ICASSP48485.2024.10447145}},
  doi          = {{10.1109/ICASSP48485.2024.10447145}},
  year         = {{2024}},
}