Name
Abstract | ||
|---|---|---|
Image sharpening in the presence of noise is formulated as a non-convex variational problem. The energy functional incorporates a gradient-dependent potential, a convex fidelity criterion and a high order convex regularizing term. The first term attains local minima at zero and some high gradient magnitude, thus forming a triple well-shaped potential (in the one-dimensional case). The energy minimization flow results in sharpening of the dominant edges, while most noisy fluctuations are filtered out. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1023/B:JMIV.0000011322.17255.85 | Journal of Mathematical Imaging and Vision |
Keywords | DocType | Volume |
image filtering,image enhancement,image sharpening,nonlinear diffusion,hyper-diffusion,variational image processing | Journal | 20 |
Issue | ISSN | Citations |
1-2 | 1573-7683 | 14 |
PageRank | References | Authors |
0.69 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guy Gilboa | 1 | 1476 | 83.79 |
| Nir Sochen | 2 | 546 | 34.81 |
| Yehoshua Y. Zeevi | 3 | 610 | 248.69 |