Name
Title | ||
|---|---|---|
An iterative speckle filtering algorithm for ultrasound images based on bayesian nonlocal means filter model. |
Abstract | ||
|---|---|---|
•The key probability density functions are deduced according to the statistical characteristic of speckle noise.•A healthy iterative filtering algorithm is proposed to reduce speckle noise based on Bayesian Nonlocal Means Filter Model.•The blockwise filtering style, pre-patch-selection operation and a small iteration number make the filtering timesaving. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2018.09.011 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Despeckle,Speckle noise,Bayesian nonlocal means,Iterative filtering,Blockwise filtering | Computer vision,Speckle pattern,Algorithm,Filter (signal processing),Artificial intelligence,Speckle noise,Image restoration,Probability density function,Mathematics,Ultrasound,Bayesian probability,Estimator | Journal |
Volume | ISSN | Citations |
48 | 1746-8094 | 1 |
PageRank | References | Authors |
0.35 | 17 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingyue Zhou | 1 | 25 | 3.89 |
| Hongbin Zang | 2 | 1 | 0.69 |
| Su Xu | 3 | 41 | 8.26 |
| Hongsen He | 4 | 23 | 4.89 |
| Jinzheng Lu | 5 | 1 | 0.35 |
| Hongdao Fang | 6 | 1 | 0.35 |