Evidence map›Paper›PMID 25965264›Full record

ArticlePloS one2015

Differentiating Biological Colours with Few and Many Sensors: Spectral Reconstruction with RGB and Hyperspectral Cameras.

Jair E Garcia, Madeline B Girard, Michael Kasumovic, Phred Petersen, Philip A Wilksch, Adrian G Dyer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Hyperchromatic structural color for perceptually enhanced sensing by the naked eye.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Article
  7. Color vision in insects: insights from Drosophila.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2020
    Review
  8. Article
  9. Improved color constancy in honey bees enabled by parallel visual projections from dorsal ocelli.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  10. Innate colour preferences of the Australian native stingless bee Tetragonula carbonaria Sm.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2016
    Article
  11. Article
  12. Article
  13. 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

6 authors at 3 institutions in 2 countries.

Jair E GarciaSchool of Media and Communication, RMIT University, Melbourne, Victoria, Australia.
Madeline B GirardDepartment of Environmental Science, Policy and Management, University of California, Berkeley, California, USA.
Michael KasumovicEcology & Evolution Research Centre, University of New South Wales, Sydney, New South Wales, Australia.
Phred PetersenSchool of Media and Communication, RMIT University, Melbourne, Victoria, Australia.
Philip A WilkschSchool of Applied Sciences, RMIT University, Melbourne, Victoria, Australia.
Adrian G DyerSchool of Media and Communication, RMIT University, Melbourne, Victoria, Australia.
RMIT University · AUUniversity of California, Berkeley · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to discriminate between two similar or progressively dissimilar colours is important for many animals as it allows for accurately interpreting visual signals produced by key target stimuli or distractor information. Spectrophotometry objectively measures the spectral characteristics of these signals, but is often limited to point samples that could underestimate spectral variability within a single sample. Algorithms for RGB images and digital imaging devices with many more than three channels, hyperspectral cameras, have been recently developed to produce image spectrophotometers to recover reflectance spectra at individual pixel locations. We compare a linearised RGB and a hyperspectral camera in terms of their individual capacities to discriminate between colour targets of varying perceptual similarity for a human observer. MAIN

findings(1) The colour discrimination power of the RGB device is dependent on colour similarity between the samples whilst the hyperspectral device enables the reconstruction of a unique spectrum for each sampled pixel location independently from their chromatic appearance. (2) Uncertainty associated with spectral reconstruction from RGB responses results from the joint effect of metamerism and spectral variability within a single sample.

conclusion(1) RGB devices give a valuable insight into the limitations of colour discrimination with a low number of photoreceptors, as the principles involved in the interpretation of photoreceptor signals in trichromatic animals also apply to RGB camera responses. (2) The hyperspectral camera architecture provides means to explore other important aspects of colour vision like the perception of certain types of camouflage and colour constancy where multiple, narrow-band sensors increase resolution.

Indexed as

AlgorithmsColorColorimetry

Identifiers

PMID25965264
PMCPMC4428825
OpenAlexW225692440

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.