Name
Abstract | ||
|---|---|---|
We present a new approach based on Partial Differential Equations (PDEs) for image enhancement in generalized "Gaussian Blur (GB) + Additive White Gaussian Noise (AWGN)" scenarios. The inability of the classic shock filter to successfully process noisy images is overcome by the introduction of a complex shock filter framework. Furthermore, the proposed method allows for better control and anisotropic, contour-driven, shock filtering via its control functions f1 and f2. The main advantages of our method consist in the ability of successfully enhancing GB+AWGN images while preserving a stable-convergent time behavior. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13681-8_3 | ICISP |
Keywords | Field | DocType |
partial differential equations,additive white gaussian noise,control functions f1,classic shock filter,better control,complex shock filter framework,novel shock filter model,image enhancement,awgn image,gaussian blur,partial differential equation | Noise reduction,Sharpening,Computer vision,Pattern recognition,Computer science,Non-local means,Filter (signal processing),Gaussian blur,Artificial intelligence,Partial differential equation,Gaussian noise,Additive white Gaussian noise | Conference |
Volume | ISSN | ISBN |
6134 | 0302-9743 | 3-642-13680-X |
Citations | PageRank | References |
2 | 0.43 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cosmin Ludusan | 1 | 11 | 1.30 |
| Olivier Lavialle | 2 | 72 | 9.51 |
| Romulus Terebes | 3 | 49 | 8.42 |
| Monica Borda | 4 | 63 | 13.54 |