RMIT University
Browse

Linearisation of RGB camera responses for quantitative image analysis of visible and UV photography: A comparison of two techniques

journal contribution
posted on 2024-11-01, 13:50 authored by Jair Eduardo Garcia Mendoza, Adrian Dyer, Andrew GreentreeAndrew Greentree, Gale SpringGale Spring, Philip WilkschPhilip Wilksch
Linear camera responses are required for recovering the total amount of incident irradiance, quantitative image analysis, spectral reconstruction from camera responses and characterisation of spectral sensitivity curves. Two commerciallyavailable digital cameras equipped with Bayer filter arrays and sensitive to visible and near-UV radiation were characterised using biexponential and Be´zier curves. Both methods successfully fitted the entire characteristic curve of the tested devices, allowing for an accurate recovery of linear camera responses, particularly those corresponding to the middle of the exposure range. Nevertheless the two methods differ in the nature of the required input parameters and the uncertainty associated with the recovered linear camera responses obtained at the extreme ends of the exposure range. Here we demonstrate the use of both methods for retrieving information about scene irradiance, describing and quantifying the uncertainty involved in the estimation of linear camera responses.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1371/journal.pone.0079534
  2. 2.
    ISSN - Is published in 19326203

Journal

PLOS ONE

Volume

8

Number

e79534

Issue

11

Start page

1

End page

10

Total pages

10

Publisher

Public Library of Science

Place published

United States

Language

English

Copyright

© 2013 Garcia et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Former Identifier

2006042908

Esploro creation date

2020-06-22

Fedora creation date

2013-12-23