Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5028
Title: Estimation of spectral reflectance of object surfaces with the consideration of perceptual color space
Authors: Shen, HL
Xin, JH 
Keywords: Color
Colorimetric analysis
Error analysis
Mathematical transformations
Nonlinear optics
Issue Date: 1-Jan-2007
Publisher: Optical Society of America
Source: Optics letters, 1 Jan. 2007, v. 32, no. 1, p. 96-98 How to cite?
Journal: Optics letters 
Abstract: Due to the nonlinear transform from spectral reflectance to CIELAB values, the solution obtained by minimizing reflectance error in traditional spectral characterization methods will not be optimal when evaluated by colorimetric error. We propose a reflectance estimation method with consideration of perceptual color space. It combines two approaches, i.e., colorimetric-based spectral calculation and weighted spectral calculation. The experimental results show that the proposed method performs better than previous methods in terms of color difference with very slight degradation in spectral accuracy.
URI: http://hdl.handle.net/10397/5028
ISSN: 0146-9592
DOI: 10.1364/OL.32.000096
Rights: © 2006 Optical Society of America. This paper was published in Optics Letters 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/ol/abstract.cfm?URI=ol-32-1-96. 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 SizeFormat 
Shen_Estimation_spectral_reflectance.pdf119.28 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Last Week
0
Last month
0
Citations as of May 1, 2016

WEB OF SCIENCETM
Citations

8
Last Week
0
Last month
0
Citations as of Apr 14, 2016

Page view(s)

263
Last Week
0
Last month
Checked on May 1, 2016

Download(s)

99
Checked on May 1, 2016

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.