Name
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-l alpha beta, 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.(c) 2005 SPIE and IS&T. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1117/1.1990007 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
computer model,computational modeling,statistical analysis,comparative study,image processing,image texture,computer graphics,reflection | HSL and HSV,Computer vision,Color space,Pattern recognition,Color histogram,Computer science,Image texture,Image processing,Artificial intelligence,RGB color model,Color quantization,Grayscale | Journal |
Volume | Issue | ISSN |
14 | 3 | 1017-9909 |
Citations | PageRank | References |
20 | 1.12 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui-Liang Shen | 1 | 91 | 10.83 |
| John H. Xin | 2 | 67 | 6.57 |