Name
Abstract | ||
|---|---|---|
Recursive spatial domain filtering is often used in image restoration. The techniques range from deterministic inverse filter algorithms [1] to stochastic Kalman filters [2,3]. However, all the techniques have in common the problem of choosing the appropriate boundary values. It is the purpose of this paper to demonstrate the importance of the boundary values in image restoration and to show how we can improve the transient response of the steady-state Kalman filters in [2] and [3] with better choices for the boundary values. |
Year | DOI | Venue |
|---|---|---|
1985 | 10.1109/ICASSP.1985.1168354 | Acoustics, Speech, and Signal Processing, IEEE International Conference ICASSP '85. |
Keywords | DocType | Volume |
information theory,boundary value problems,image restoration,kalman filter,steady state,transient response,kalman filters,boundary conditions,boundary value problem | Conference | 10 |
Citations | PageRank | References |
14 | 10.44 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. W. Woods | 1 | 14 | 10.44 |
| Biemond, J. | 2 | 86 | 56.07 |
| Tekalp, A.M. | 3 | 30 | 15.86 |