Abstract
A generalization to the nonlinear diffusion of digital images is proposed, taking into account an extended neighborhood as a prolongation to information derived from local, nearest-neighboring pixels. Traditionally, each iteration in nonlinear diffusion filtering is performed on a 3 × 3 window. While several iterations can propagate this local information to pixels which are further away from the center of the window, it clearly presents a limitation in some applications as compared to non-PDE based filtering approaches in which the window is larger than 3 × 3. Here, an extension is presented to describe the nonlinear diffusion equation for larger windows, thus overcoming this limitation.
| Original language | English |
|---|---|
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | Applied Numerical Mathematics |
| Volume | 52 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2005 |
| Externally published | Yes |
Keywords
- Adaptive smoothing
- Digital TV filtering
- Extended neighborhood
- Nonlinear diffusion filtering
ASJC Scopus subject areas
- Numerical Analysis
- Computational Mathematics
- Applied Mathematics