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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 15, Iss. 23 — Nov. 12, 2007
  • pp: 15545–15554

Reflectance reconstruction for multispectral imaging by adaptive Wiener estimation

Hui-Liang Shen, Pu-Qing Cai, Si-Jie Shao, and John H. Xin  »View Author Affiliations


Optics Express, Vol. 15, Issue 23, pp. 15545-15554 (2007)
http://dx.doi.org/10.1364/OE.15.015545


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Abstract

In multispectral imaging, Wiener estimation is widely adopted for the reconstruction of spectral reflectance. We propose an improved reflectance reconstruction method by adaptively selecting training samples for the autocorrelation matrix calculation in Wiener estimation, without a prior knowledge of the spectral information of the samples being imaged. The performance of the proposed adaptive Wiener estimation and the traditional method are compared in the cases of different channel numbers and noise levels. Experimental results show that the proposed method outperforms the traditional method in terms of both spectral and colorimetric prediction errors when the imaging channel number is 7 or less. When the imaging system consists of 11 or more channels, the color accuracy of the proposed method is slightly better than or becomes close to that of the traditional method.

© 2007 Optical Society of America

OCIS Codes
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1730) Vision, color, and visual optics : Colorimetry
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

ToC Category:
Imaging Systems

History
Original Manuscript: August 20, 2007
Revised Manuscript: October 29, 2007
Manuscript Accepted: October 30, 2007
Published: November 9, 2007

Virtual Issues
Vol. 2, Iss. 12 Virtual Journal for Biomedical Optics

Citation
Hui-Liang Shen, Pu-Qing Cai, Si-Jie Shao, and John H. Xin, "Reflectance reconstruction for multispectral imaging by adaptive Wiener estimation," Opt. Express 15, 15545-15554 (2007)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-15-23-15545


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References

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