Recovery of spectral reflectances of imaged objects by the use of features of spectral reflectances
JOSA A, Vol. 27, Issue 2, pp. 251-258 (2010)
http://dx.doi.org/10.1364/JOSAA.27.000251
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Abstract
Recovery of spectral reflectances of objects being imaged through the use of sensor responses is important to reproduce color images under various illuminations. Although the Wiener estimation is usually used for the recovery, the recovery performance of the estimation depends on the autocorrelation matrix of the spectral reflectances and the noise present in an image acquisition system. The purpose of the present paper is to show that the Wiener estimation with the noise variance estimated by the previous proposal [ IEEE Trans. Image Process. 16, 1848 (2006) ] and with the autocorrelation matrix that uses the features of the spectral reflectances recovered by the previous method is very effective in greatly improving the performance.
© 2010 Optical Society of America
OCIS Codes
(150.0150) Machine vision : Machine vision
(330.1690) Vision, color, and visual optics : Color
(330.1730) Vision, color, and visual optics : Colorimetry
(330.6180) Vision, color, and visual optics : Spectral discrimination
ToC Category:
Vision, Color, and Visual Optics
History
Original Manuscript: July 28, 2009
Revised Manuscript: December 10, 2009
Manuscript Accepted: December 14, 2009
Published: January 21, 2010
Virtual Issues
Vol. 5, Iss. 4 Virtual Journal for Biomedical Optics
Citation
Noriyuki Shimano and Mikiya Hironaga, "Recovery of spectral reflectances of imaged objects by the use of features of spectral reflectances," J. Opt. Soc. Am. A 27, 251-258 (2010)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-2-251
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