Name
Abstract | ||
|---|---|---|
•Weighted mean curvature (WMC) is a novel spatial prior for image processing.•WMC is sampling-, scale-, and contrast-invariant, and is sparse on natural images.•WMC can be efficiently computed by eight small convolution kernels.•A simple, fast, and numerically stable computation scheme is presented.•WMC is the gradient of area regularization, which can be superior to TV and MC. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2019.06.020 | Signal Processing |
Keywords | DocType | Volume |
Mean curvature,Convolution,Neural network,Regularization,Weighted mean curvature,Curvature | Journal | 164 |
ISSN | Citations | PageRank |
0165-1684 | 2 | 0.35 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanhao Gong | 1 | 24 | 8.47 |
| Orçun Göksel | 2 | 31 | 8.92 |