Spatial-Spectral Evidence of Glare Influence on Hyperspectral Acquisitions.

digital imaging glare hyperspectral imaging

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
05 Aug 2020
Historique:
received: 06 07 2020
revised: 28 07 2020
accepted: 31 07 2020
entrez: 9 8 2020
pubmed: 9 8 2020
medline: 9 8 2020
Statut: epublish

Résumé

Glare is an unwanted optical phenomenon which affects imaging systems with optics. This paper presents for the first time a set of hyperspectral image (HSI) acquisitions and measurements to verify how glare affects acquired HSI data in standard conditions. We acquired two ColorCheckers (CCs) in three different lighting conditions, with different backgrounds, different exposure times, and different orientations. The reflectance spectra obtained from the imaging system have been compared to pointwise reference measures obtained with contact spectrophotometers. To assess and identify the influence of glare, we present the Glare Effect (GE) index, which compares the contrast of the grayscale patches of the CC in the hyperspectral images with the contrast of the reference spectra of the same patches. We evaluate, in both spatial and spectral domains, the amount of glare affecting every hyperspectral image in each acquisition scenario, clearly evidencing an unwanted light contribution to the reflectance spectra of each point, which increases especially for darker pixels and pixels close to light sources or bright patches.

Identifiants

pubmed: 32764366
pii: s20164374
doi: 10.3390/s20164374
pmc: PMC7474423
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

J Biomed Opt. 2014 Jan;19(1):10901
pubmed: 24441941
Sensors (Basel). 2008 Sep 11;8(9):5576-5618
pubmed: 27873831
Sensors (Basel). 2018 Feb 02;18(2):
pubmed: 29393921

Auteurs

Alberto Signoroni (A)

Information Engineering Department, Università degli Studi di Brescia, via Branze 38, I-25123 Brescia, Italy.

Mauro Conte (M)

Information Engineering Department, Università degli Studi di Brescia, via Branze 38, I-25123 Brescia, Italy.

Alice Plutino (A)

Computer Science Department, Università degli Studi di Milano, via Celoria 18, 20133 Milan, Italy.

Alessandro Rizzi (A)

Computer Science Department, Università degli Studi di Milano, via Celoria 18, 20133 Milan, Italy.

Classifications MeSH