Name
Title | ||
|---|---|---|
Single image dehazing and denoising combining dark channel prior and variational models. |
Abstract | ||
|---|---|---|
Single image dehazing and denoising models can simultaneously remove haze and noise with high efficiency. Here, the authors propose three variational models combining the celebrated dark channel prior (DCP) and total variations (TV) models for image dehazing and denoising. The authors firstly estimate the transmission map associated with depth using DCP, then design three variational models for co... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-cvi.2017.0318 | IET Computer Vision |
Keywords | Field | DocType |
estimation theory,image colour analysis,image denoising,iterative methods,variational techniques | Noise reduction,Pattern recognition,Communication channel,Auxiliary variables,Artificial intelligence,Noise removal,Mathematics,Colour image,Computation | Journal |
Volume | Issue | ISSN |
12 | 4 | 1751-9632 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Wang | 1 | 76 | 14.27 |
| Guojia Hou | 2 | 24 | 6.41 |
| Zhenkuan Pan | 3 | 202 | 39.13 |
| Guodong Wang | 4 | 168 | 24.74 |