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, Hui-liang
Xin, John Haozhong
Subjects: 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.
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.
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.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4355
DOI: 10.1117/1.1990007
ISSN: 1017-9909
Appears in Collections:ITC Journal/Magazine Articles

Files in This Item:
File Description SizeFormat 
Shen_Computational_models_fusion.pdf182.9 kBAdobe PDFView/Open


All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.