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Deconvolution of spectral data for colorimetry by second order local power expansion
Author(s) -
Oleari Claudio
Publication year - 2010
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.20552
Subject(s) - deconvolution , band pass filter , convolution (computer science) , bandwidth (computing) , mathematics , gaussian , function (biology) , spectral density , spectral resolution , gaussian function , algorithm , optics , computer science , spectral line , physics , telecommunications , statistics , artificial intelligence , quantum mechanics , astronomy , evolutionary biology , artificial neural network , biology
In spectral measurements, a consequence of using finite bandwidth is that the observed quantity is the convolution of the instrument‐spectral‐bandpass function with the unknown quantity that we want measure. To know the true value of the quantity to be measured, we must perform a deconvolution of the observed data. This article proposes a deconvolution technique based on the complete knowledge of the instrument‐spectral‐bandpass function and on the hypothesis that the unknown quantity to be measured can be power expanded locally around each measuring wavelength. Typical spectral bandpass functions, triangular and Gaussian and with symmetric and asymmetric shape are considered. The spectral resolution evaluated by simulation as a function of the bandwidth and of the spectral scanning step is given to represent the performance of this technique. © 2009 Wiley Periodicals, Inc. Col Res Appl, 2010