Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4355
Title: Computational models for fusion of texture and color : a comparative study
Authors: Shen, HL
Xin, JH 
Keywords: Image texture
Image processing
Computer graphics
Colour
Modelling
Issue Date: Jul-2005
Publisher: SPIE and IS&T
Source: Journal of electronic imaging, July-Sept. 2005, v. 14, no. 3, 033003, p. 1-7 How to cite?
Journal: Journal of electronic imaging 
Abstract: Fusion of texture and color is to simulate color texture images that are perceptually very close to the actual ones. There are three computational models, i.e., gray-to-color mapping (GCM), color-to-color mapping (CCM), and dichromatic-based (DICH) models. The CCM model is extended to three methods, namely, CCM-RGB, CCM-LCH, and CCM-Iαβ , when it is applied in different color spaces. The DICH model contains two methods: DICH-GC and DICH-CC, considering the original image can be either gray scale or color. The color fidelity of these six methods is comparatively investigated in terms of image similarity between simulated and target images.
URI: http://hdl.handle.net/10397/4355
ISSN: 1017-9909
DOI: 10.1117/1.1990007
Rights: Copyright 2005 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 
Shen_Computational_models_fusion.pdf182.9 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

274
Last Week
0
Last month
Checked on Sep 18, 2016

Download(s)

230
Checked on Sep 18, 2016

Google ScholarTM

Check

Altmetric



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