Imaging Systems

Optimization of spectral sensitivities with Gaussian distribution functions for a color image acquisition device in the presence of noise

[+] Author Affiliations
Noriyuki Shimano

Kinki University,School of Science and Engineering, Department of Informatics, 3-4-1, Kowakae, Higashi-osaka, Osaka 577-8502, Japan

Opt. Eng. 45(1), 013201 (January 24, 2006). doi:10.1117/1.2159480
History: Received January 20, 2005; Revised June 02, 2005; Accepted June 08, 2005; Published January 24, 2006
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The acquisition of the colorimetric information about an object using a color image acquisition device is important at an early stage in a color management system. The accuracy of the colorimetric values estimated by the device responses depends not only on the spectral sensitivities of a set of sensors but also on the noise present in the devices. We address the optimization of a set of spectral sensitivities with Gaussian distribution functions based on a colorimetric evaluation model. It is demonstrated that the design of optimal sensors is contingent on finding the right balance between the human visual subspace and the subspace that maximizes the singular values of a matrix SLVΛ12 to increase the robustness to noise, where S, L, V, and Λ represent a sensor matrix, a diagonal matrix for an illuminant, a basis matrix, and a diagonal matrix with eigenvalues of an autocorrelation matrix of reflectance spectra, respectively.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Noriyuki Shimano
"Optimization of spectral sensitivities with Gaussian distribution functions for a color image acquisition device in the presence of noise", Opt. Eng. 45(1), 013201 (January 24, 2006). ; http://dx.doi.org/10.1117/1.2159480


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