Literature DB >> 10680623

Color signals in natural scenes: characteristics of reflectance spectra and effects of natural illuminants.

C C Chiao1, T W Cronin, D Osorio.   

Abstract

Multispectral images of natural scenes were collected from both forests and coral reefs to represent typical, complex scenes that might be viewed by modern animals. Both reflectance spectra and modeled visual color signals in these scenes were decorrelated spectrally by principal-component analysis. Nearly 98% of the variance of reflectance spectra and color signals can be described by the first three principal components for both forest and coral reef scenes, which implies that three well-designed visual channels can recover almost all of the spectral information of natural scenes. A variety of natural illuminants affects color signals of forest scenes only slightly, but the variation in ambient irradiance spectra that is due to the absorption of light by water has dramatic influences on the spectral characteristics of coral reef scenes.

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Year:  2000        PMID: 10680623     DOI: 10.1364/josaa.17.000218

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  14 in total

1.  Natural scene statistics as the universal basis of color context effects.

Authors:  Fuhui Long; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-17       Impact factor: 11.205

2.  Color matching on natural substrates in cuttlefish, Sepia officinalis.

Authors:  Lydia M Mäthger; Chuan-Chin Chiao; Alexandra Barbosa; Roger T Hanlon
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2008-04-15       Impact factor: 1.836

3.  Deep neural models for color classification and color constancy.

Authors:  Alban Flachot; Arash Akbarinia; Heiko H Schütt; Roland W Fleming; Felix A Wichmann; Karl R Gegenfurtner
Journal:  J Vis       Date:  2022-03-02       Impact factor: 2.240

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

Authors:  Ángela Gómez Manzanares; Daniel Vázquez Moliní; Antonio Alvarez Fernandez-Balbuena; Santiago Mayorga Pinilla; Juan Carlos Martínez Antón
Journal:  Sensors (Basel)       Date:  2022-06-21       Impact factor: 3.847

5.  An arbitrary-spectrum spatial visual stimulator for vision research.

Authors:  Katrin Franke; André Maia Chagas; Zhijian Zhao; Maxime Jy Zimmermann; Philipp Bartel; Yongrong Qiu; Klaudia P Szatko; Tom Baden; Thomas Euler
Journal:  Elife       Date:  2019-09-23       Impact factor: 8.140

6.  Optimized Multi-Spectral Filter Array Based Imaging of Natural Scenes.

Authors:  Yuqi Li; Aditi Majumder; Hao Zhang; M Gopi
Journal:  Sensors (Basel)       Date:  2018-04-12       Impact factor: 3.576

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

Authors:  Jair E Garcia; Madeline B Girard; Michael Kasumovic; Phred Petersen; Philip A Wilksch; Adrian G Dyer
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

8.  Statistics of spatial cone-excitation ratios in natural scenes.

Authors:  Sérgio M C Nascimento; Flávio P Ferreira; David H Foster
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2002-08       Impact factor: 2.129

9.  Honeybees (Apis mellifera) learn color discriminations via differential conditioning independent of long wavelength (green) photoreceptor modulation.

Authors:  David H Reser; Randika Wijesekara Witharanage; Marcello G P Rosa; Adrian G Dyer
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

10.  Red fluorescence increases with depth in reef fishes, supporting a visual function, not UV protection.

Authors:  Melissa G Meadows; Nils Anthes; Sandra Dangelmayer; Magdy A Alwany; Tobias Gerlach; Gregor Schulte; Dennis Sprenger; Jennifer Theobald; Nico K Michiels
Journal:  Proc Biol Sci       Date:  2014-09-07       Impact factor: 5.349

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