Evidence map›Paper›PMID 35808165›Full record

ArticleSensors (Basel, Switzerland)2022

Measuring High Dynamic Range Spectral Reflectance of Artworks through an Image Capture Matrix Hyperspectral Camera.

Ángela Gómez Manzanares, Daniel Vázquez Moliní, Antonio Alvarez Fernandez-Balbuena, Santiago Mayorga Pinilla, Juan Carlos Martínez Antón

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ángela Gómez ManzanaresDepartment of Optics, University Complutense of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-9253-5843
Daniel Vázquez MoliníDepartment of Optics, University Complutense of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-6151-3019
Antonio Alvarez Fernandez-BalbuenaDepartment of Optics, University Complutense of Madrid, 28040 Madrid, Spain.ORCID 0000-0001-8020-3892
Santiago Mayorga PinillaDepartment of Optics, University Complutense of Madrid, 28040 Madrid, Spain.ORCID 0000-0002-1960-5734
Juan Carlos Martínez AntónDepartment of Optics, University Complutense of Madrid, 28040 Madrid, Spain.ORCID 0000-0003-1205-5159

Funding

Ministry of science and innovation of Spain RTI2018-097633-A-I00
6 · The paper itself

Abstract

Commercial hyperspectral imaging systems typically use CCD or CMOS sensors. These types of sensors have a limited dynamic range and non-linear response. This means that when evaluating an artwork under uncontrolled lighting conditions and with light and dark areas in the same scene, hyperspectral images with underexposed or saturated areas would be obtained at low or high exposure times, respectively. To overcome this problem, this article presents a system for capturing hyperspectral images consisting of a matrix of twelve spectral filters placed in twelve cameras, which, after processing these images, makes it possible to obtain the high dynamic range image to measure the spectral reflectance of the work of art being evaluated. We show the developed system and describe all its components, calibration processes, and the algorithm implemented to obtain the high dynamic range spectral reflectance measurement. In order to validate the system, high dynamic range spectral reflectance measurements from Labsphere's Spectralon Reflectance Standards were performed and compared with the same reflectance measurements but using low dynamic range images. High dynamic range hyperspectral imaging improves the colorimetric accuracy and decreases the uncertainty of the spectral reflectance measurement based on low dynamic range imaging.

Indexed as

artworkfilter matrixhigh dynamic rangehyperspectral imagespectral reflectance

Identifiers

PMID35808165
PMCPMC9269223

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.