Name
Abstract | ||
|---|---|---|
This paper focuses on the implementation of the pansharpened image fusion technique proposed in the companion paper [A Nonlocal Variational Model for Pansharpening Image Fusion, SIAM Journal on Imaging Sciences, 2014, to appear]. Pansharpening refers to the process of inferring a high resolution multispectral image from a high resolution panchromatic image and low resolution multispectral one. Although quite successful in terms of relative error, state-of-the-art pansharpening methods still introduce relevant color artifacts. The variational pansharpening model proposed by Duran et al. incorporates a nonlocal regularization term that takes advantage of image self-similarity, leading to significant reduction of the above-mentioned color artifacts. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.5201/ipol.2014.98 | IMAGE PROCESSING ON LINE |
Keywords | Field | DocType |
image fusion, pansharpening, multispectral imagery, neighborhood filter, nonlocal operators, energy functional | Computer vision,Image fusion,Panchromatic film,Computer science,Variational model,Multispectral image,Imaging science,Regularization (mathematics),Artificial intelligence,Energy functional,Approximation error | Journal |
Volume | ISSN | Citations |
4 | 2105-1232 | 2 |
PageRank | References | Authors |
0.37 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antoni Buades | 1 | 2960 | 144.48 |
| B. Coll | 2 | 1614 | 86.70 |
| Joan Duran | 3 | 31 | 6.33 |
| Catalina Sbert | 4 | 368 | 42.20 |