Maximum likelihood restoration of binary objects
A new approach, based on maximum likelihood, is developed for binary object image restoration. This considers the image formation process as a stochastic process, with noise as a random variable. The likelihood function is constructed for the cases of Gaussian and Poisson noise. An uphill climb meth...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en_US |
| Published: |
The University of Arizona.
1987
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10150/276574 http://arizona.openrepository.com/arizona/handle/10150/276574 |