Name
Abstract | ||
|---|---|---|
•The physical meaning of the L1 norm is given in the paper.•The method can deal with pseudo-color medical image fusion, the color information in the fusion image is least distorted, and the spatial details remain well.•The geometrical direction of the patch is used as the criteria for patch classification, which produces the directional sub-dictionary and ensures a more accurate sparse representation for the directional patch. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.bspc.2017.02.005 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Medical image fusion,Sparse representation,Patch classification,Online dictionary learning (ODL),Least angle regression (LARS) | Computer vision,Dictionary learning,K-SVD,Image fusion,Pattern recognition,Medical imaging,Computer science,Sparse approximation,Artificial intelligence,Fusion scheme,Least-angle regression,Visual perception | Journal |
Volume | ISSN | Citations |
34 | 1746-8094 | 6 |
PageRank | References | Authors |
0.46 | 28 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing-jing Zong | 1 | 12 | 1.22 |
| Tianshuang Qiu | 2 | 313 | 43.84 |