Evidence map›Paper›PMID 33139611›Full record

ArticleSensors (Basel, Switzerland)2020

How Good Are RGB Cameras Retrieving Colors of Natural Scenes and Paintings?-A Study Based on Hyperspectral Imaging.

João M M Linhares, José A R Monteiro, Ana Bailão, Liliana Cardeira, Taisei Kondo, Shigeki Nakauchi, Marcello Picollo, Costanza Cucci, Andrea Casini, Lorenzo Stefani and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

11 authors.

João M M LinharesCentre of Physics, Gualtar Campus, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0001-9197-5134
José A R MonteiroCentre of Physics, Gualtar Campus, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0002-5780-956X
Ana BailãoFaculty of Fine Arts, University of Lisbon, 1649-004 Lisboa, Portugal.
Liliana CardeiraFaculty of Fine Arts, University of Lisbon, 1649-004 Lisboa, Portugal.
Taisei KondoToyohashi University of Technology, Aichi 441-8580, Japan.
Shigeki NakauchiToyohashi University of Technology, Aichi 441-8580, Japan.
Marcello PicolloIstituto di Fisica Applicata "Nello Carrara" del Consiglio Nazionale delle Ricerche (IFAC-CNR), Via Madonna del piano 10, 50019 Firenze, Italy.ORCID 0000-0003-1012-6048
Costanza CucciIstituto di Fisica Applicata "Nello Carrara" del Consiglio Nazionale delle Ricerche (IFAC-CNR), Via Madonna del piano 10, 50019 Firenze, Italy.ORCID 0000-0001-8534-7465
Andrea CasiniIstituto di Fisica Applicata "Nello Carrara" del Consiglio Nazionale delle Ricerche (IFAC-CNR), Via Madonna del piano 10, 50019 Firenze, Italy.
Lorenzo StefaniIstituto di Fisica Applicata "Nello Carrara" del Consiglio Nazionale delle Ricerche (IFAC-CNR), Via Madonna del piano 10, 50019 Firenze, Italy.
Sérgio Miguel Cardoso NascimentoCentre of Physics, Gualtar Campus, University of Minho, 4710-057 Braga, Portugal.ORCID 0000-0002-2503-9003

Funding

Fundação para a Ciência e a Tecnologia UIDB/04650/2020
6 · The paper itself

Abstract

RGB digital cameras (RGB) compress the spectral information into a trichromatic system capable of approximately representing the actual colors of objects. Although RGB digital cameras follow the same compression philosophy as the human eye (OBS), the spectral sensitivity is different. To what extent they provide the same chromatic experiences is still an open question, especially with complex images. We addressed this question by comparing the actual colors derived from spectral imaging with those obtained with RGB cameras. The data from hyperspectral imaging of 50 natural scenes and 89 paintings was used to estimate the chromatic differences between OBS and RGB. The corresponding color errors were estimated and analyzed in the color spaces CIELAB (using the color difference formulas Δ

Indexed as

chromatic errorscolor differencehyperspectral imagingnatural scenesnumber of colors.paintings

Identifiers

PMID33139611
PMCPMC7663052

What OpenQuestion holds

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Registered trials

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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.