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2001
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On the estimation of spectral data: a genetic algorithm approach

12 years 1 months ago
On the estimation of spectral data: a genetic algorithm approach
Spectral data estimation from image data is an ill-posed problem since (i) due to the integral nature of solid-state light sensors the same output can be obtained from an infinity of input signals and (ii) color signals are spectrally smooth in nature and therefore limit the number of linear independent equation that can be formulated for the identification problem. To enable the solution of these problems most methods relay on exact a priori knowledge, such as smoothness and modality, to formulate hard constraints. In this paper a new method based on an extended generalized cross-validation measure is introduced for this type of problems. The solution is obtained with a genetic algorithm that maximizes its prediction ability. The method does not require exact a priori knowledge on the solution, since it is able to extract this information from the input data.
Amâncio Santos, António Dourado, Bern
Added 25 Oct 2009
Updated 25 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Amâncio Santos, António Dourado, Bernardete Ribeiro, Paulo D. Carvalho
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