Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/4531
| Title: | Improved reflectance reconstruction for multispectral imaging by combining different techniques | Authors: | Shen, HL Xin, JH Shao, S |
Issue Date: | 30-Apr-2007 | Source: | Optics express, 30 Apr. 2007, v. 15, no. 9, p. 5531-5536 | Abstract: | In multispectral imaging system, one of the most important tasks is to accurately reconstruct the spectral reflectance from system responses. We propose such a new method by combing three most frequently used techniques, i.e., wiener estimation, pseudo-inverse, and finite-dimensional modeling. The weightings of these techniques are calculated by minimizing the combined standard deviation of both spectral errors and colorimetric errors. Experimental results show that, in terms of color difference error, the performance of the proposed method is better than those of the three techniques. It is found that the simple averaging of the reflectance estimates of these three techniques can also yield good color accuracy. | Keywords: | Computer simulation Error analysis Finite difference method Multispectral scanners |
Publisher: | Optical Society of America | Journal: | Optics express | EISSN: | 1094-4087 | DOI: | 10.1364/OE.15.005531 | 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-15-9-5531. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Shen_Improved_reflectance_reconstruction.pdf | 105.79 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
98
Last Week
1
1
Last month
Citations as of Jun 4, 2023
Downloads
120
Citations as of Jun 4, 2023
SCOPUSTM
Citations
52
Last Week
0
0
Last month
1
1
Citations as of Jun 1, 2023
WEB OF SCIENCETM
Citations
45
Last Week
0
0
Last month
0
0
Citations as of Jun 1, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.