Name
Title | ||
|---|---|---|
Blind deblurring from single motion image based on adaptive weighted total variation algorithm. |
Abstract | ||
|---|---|---|
Blind image deblurring is an important topic which is widely used in many research fields such as photography, optics, astronomy, medical images, monitoring, military and so on. Although many algorithms have been proposed to improve the deblurring result in the past years, most of them cannot perform perfectly in some challenging cases. This study presents a novel blind deblurring method based on ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-spr.2015.0458 | IET Signal Processing |
Keywords | Field | DocType |
image motion analysis,image restoration,inverse problems | Latent image,Photography,Inverse problem,Artificial intelligence,Image restoration,Point spread function,Kernel density estimation,Computer vision,Mathematical optimization,Deblurring,Ringing,Algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 6 | 1751-9675 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Wen | 1 | 2 | 2.26 |
| Junsuo Zhao | 2 | 3 | 3.08 |
| Cailing Wang | 3 | 6 | 2.81 |
| Shuxia Yan | 4 | 0 | 0.34 |
| Wen Wang | 5 | 1 | 2.05 |