Name
Title | ||
|---|---|---|
Local activity-driven structural-preserving filtering for noise removal and image smoothing. |
Abstract | ||
|---|---|---|
•Two novel edge-stop functions are introduced for our local activity-driven anisotropic diffusion (LAD-AD) to efficiently remove severe artifacts and preserve the fine geometry structures in HEVC-compressed depth images.•We propose a simple yet effective local activity-driven RTV (LAD-RTV) with the way of the product of gradient and the local activity measurement for image smoothing and scale representation.•LAD-RTV leverages the form of the division of gradient and the local activity measurement to resolve the problem of general image de-noising by regarding the noises as the duplicate texture elements. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2018.11.012 | Signal Processing |
Keywords | Field | DocType |
Image filtering,Noise removal,Image smoothing,Scale representation | Anisotropic diffusion,Normalization (statistics),Pattern recognition,Control theory,Filter (signal processing),Smoothing,Artificial intelligence,Discriminative model,Standard deviation,Noise removal,Mathematics,Color image | Journal |
Volume | ISSN | Citations |
157 | 0165-1684 | 1 |
PageRank | References | Authors |
0.37 | 31 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lijun Zhao | 1 | 117 | 17.89 |
| Bai Huihui | 2 | 243 | 41.01 |
| Jie Liang | 3 | 707 | 80.89 |
| Wang Anhong | 4 | 169 | 38.51 |
| B Zeng | 5 | 1374 | 159.35 |
| Yao Zhao | 6 | 1926 | 219.11 |