Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4532
Title: Reflectance reconstruction for multispectral imaging by adaptive Wiener estimation
Authors: Shen, Hui-liang
Cai, Pu-Qing
Shao, Sijie
Xin, John Haozhong
Subjects: Colorimetric analysis
Error analysis
Estimation
Reflection
Spectrum analysis
Issue Date: 12-Nov-2007
Publisher: Optical Society of America
Source: Optics express, 12 Nov. 2007, v. 15, no. 23, p. 15545-15554.
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.
Rights: © 2007 Optical Society of America. This paper was published in Optics Express and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-15-23-15545. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4532
DOI: 10.1364/OE.15.015545
ISSN: 1094-4087
Appears in Collections:ITC Journal/Magazine Articles

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