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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4362

Title: Computational model for color mapping on texture images
Authors: Xin, John Haozhong
Shen, Hui-liang
Subjects: Image colour analysis
Image texture
Brightness
Visual perception
Textile industry
Issue Date: Oct-2003
Publisher: SPIE and IS&T
Citation: 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.
Description: 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.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4362
ISSN: 1017-9909
Appears in Collections:ITC Journal/Magazine Articles

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