Skip to Main content Skip to Navigation
Conference papers

Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response

Abstract : In this paper we propose an approach of image restoration from multispectral data provided by an imaging system. We specifically address two topics: (i) Development of a multi-wavelength direct model for non-stationary instrument response that includes a spatial convolution and a spectral integration, (ii) Implementation of multispectral image restoration using a regularized least-square, based on a quadratic criterion and minimized by a gradient algorithm. We test our approach on simulated data of the Mid-InfraRed Instrument IMager (MIRIM) of the James Webb Space Telescope (JWST). Our method shows a clear increase of spatial resolution compare to conventional methods.
Document type :
Conference papers
Complete list of metadata

Cited literature [22 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01596253
Contributor : Aurélia Fraysse Connect in order to contact the contributor
Submitted on : Tuesday, March 10, 2020 - 10:50:56 AM
Last modification on : Wednesday, November 3, 2021 - 9:28:39 AM
Long-term archiving on: : Thursday, June 11, 2020 - 2:09:58 PM

File

bare_conf.pdf
Files produced by the author(s)

Identifiers

Citation

Mohamed El Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, M Hadj-Youcef˚, F Orieux˚, et al.. Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, kos, Greece. ⟨10.23919/eusipco.2017.8081258⟩. ⟨hal-01596253⟩

Share

Metrics

Record views

397

Files downloads

354