Abstract

In a previous work [Appl. Opt. 44, 5688 (2005) ] we found the optimum sensors for a planned multispectral system for measuring skylight in the presence of noise by adapting a linear spectral recovery algorithm proposed by Maloney and Wandell [J. Opt. Soc. Am. A 3, 29 (1986) ]. Here we continue along these lines by simulating the responses of three to five Gaussian sensors and recovering spectral information from noise-affected sensor data by trying out four different estimation algorithms, three different sizes for the training set of spectra, and various linear bases. We attempt to find the optimum combination of sensors, recovery method, linear basis, and matrix size to recover the best skylight spectral power distributions from colorimetric and spectral (in the visible range) points of view. We show how all these parameters play an important role in the practical design of a real multispectral system and how to obtain several relevant conclusions from simulating the behavior of sensors in the presence of noise.

© 2007 Optical Society of America

Designing a practical system for spectral imaging of skylight

Miguel A. López-Álvarez, Javier Hernández-Andrés, Javier Romero, and Raymond L. Lee
Appl. Opt. 44(27) 5688-5695 (2005)

Recovery of spectral reflectances of objects being imaged by multispectral cameras

Noriyuki Shimano, Kenichiro Terai, and Mikiya Hironaga
J. Opt. Soc. Am. A 24(10) 3211-3219 (2007)

Developing an optimum computer-designed multispectral system comprising a monochrome CCD camera and a liquid-crystal tunable filter

Miguel A. López-Álvarez, Javier Hernández-Andrés, and Javier Romero
Appl. Opt. 47(24) 4381-4390 (2008)

Spectral-daylight recovery by use of only a few sensors

Javier Hernández-Andrés, Juan L. Nieves, Eva M. Valero, and Javier Romero
J. Opt. Soc. Am. A 21(1) 13-23 (2004)

Using a trichromatic CCD camera for spectral skylight estimation

Miguel A. López-Álvarez, Javier Hernández-Andrés, Javier Romero, F. J. Olmo, A. Cazorla, and L. Alados-Arboledas
Appl. Opt. 47(34) H31-H38 (2008)