Name
Abstract | ||
|---|---|---|
A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing small scale details. A novel guided filtering-based weighted average technique is proposed to make full use of spatial consistency for fusion of the base and detail layers. Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for fusion of multispectral, multifocus, multimodal, and multiexposure images. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TIP.2013.2244222 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
multimodal image fusion,multiexposure image fusion,guided filtering-based weighted average technique,image processing,image fusion,spatial consistency,guided filter,two-scale image decomposition,computer vision,multispectral image fusion,two-scale decomposition,filtering theory,multifocus image fusion,indexes,optimization,measurement | Computer vision,Feature detection (computer vision),Image fusion,Pattern recognition,Computer science,Image texture,Multispectral image,Binary image,Image processing,Filter (signal processing),Artificial intelligence,Digital image processing | Journal |
Volume | Issue | ISSN |
22 | 7 | 1941-0042 |
Citations | PageRank | References |
78 | 1.83 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shutao Li | 1 | 2594 | 139.10 |
| Xudong Kang | 2 | 451 | 22.68 |
| Jianwen Hu | 3 | 294 | 12.03 |