Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4362
PIRA download icon_1.1View/Download Full Text
Title: Computational model for color mapping on texture images
Authors: Xin, JH 
Shen, HL
Issue Date: Oct-2003
Source: Journal of electronic imaging, Oct. 2003, v. 12, no. 4, p. 697-704
Abstract: The interrelationships among spatial distribution in the red, green, and blue channels of texture images of differently woven textile fabrics are investigated. A computational model for color mapping is developed based on the channel proportionality found in the investigation. The computational model developed has two modes: gray-to-color mapping (GCM) and color-to-color mapping (CCM) that deal with different images. For the GCM mode, the spatial distribution of luminance is known. The algorithm needs to deduce data in three channels for a color image from 1-D spatial distribution of luminance. Whereas in the CCM mode, the information for each of the three channels is known. Numerical and psychophysical experiments are carried out to evaluate the accuracy of the color mapping algorithm quantitatively. Satisfactory color accuracy of the mapped images was obtained according to the results of both numerical calculation and visual experiment.
Keywords: Image colour analysis
Image texture
Brightness
Visual perception
Textile industry
Publisher: SPIE-International Society for Optical Engineering
Journal: Journal of electronic imaging 
ISSN: 1017-9909
EISSN: 1560-229X
DOI: 10.1117/1.1604395
Rights: Copyright 2003 Society of Photo-Optical Instrumentation Engineers and IS&T. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Xin_Computational_model_color.pdf579.64 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

145
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

152
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

13
Last Week
0
Last month
0
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
0
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


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