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Differentiating biological colours with few and many sensors: Spectral reconstruction with RGB and hyperspectral cameras

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Differentiating biological colours with few and many sensors: Spectral reconstruction with RGB and hyperspectral cameras
 
Identifier https://doi.org/10.7910/DVN/29370
 
Creator Garcia, Jair E.
 
Publisher Harvard Dataverse
 
Description This Dataverse holds supporting data for the paper "Differentiating biological colour with few and many sensors: Spectral reconstruction with RGB and hyperspectral cameras" by Garcia, Girard, Kasumovic, Petersen, Wilksch and Dyer 2015. The data consists on: a) non-linear RGB TIFF images; b) linearised version of images in a) stored as 3888 x 2592 x 3 matlab matrices where monochrome images corresponding to the red, green and blue colour channels are stored along the thrid dimension of the matrix, following Matlab's standard format for RGB images; c) A Matlab files directory containing a matrix (.mat) file storing linear RGB values for the calibration set and reflectance spectra readings corresponding to each sample in the set. This data is required for the spectral reconstruction of any given RGB combination. Code for performing the spectral reconstruction mentioned in the paper is also provided as a plain, txt file. Copy and paste the contents of this file into a matlab function page for creating the function in your own machine. d) An excel file containing the data in c) for reference purposes. The authors provide the code without any warranty. Please refer to the publication for more details.
 
Subject Spectral_reconstruction
linear_camera_response
digital_photography
 
Date 2015-03