Name
Abstract | ||
|---|---|---|
A new block-adaptive image identification and restoration method for images degraded by slowly varying blurs is described. Essentially, the proposed method assumes that the blur is stationary within a small subimage, and locally identifies the image and blurs parameters. The iterative expectation-maximization (EM) image identification-restoration algorithm is used in a semi-recursive manner to identify and restore overlapping subimages |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/ICASSP.1991.150908 | Toronto, Ont. |
Keywords | DocType | ISSN |
iterative methods,parameter estimation,picture processing,block adaptive image restoration,block-adaptive image identification,blurs parameters,image identification-restoration algorithm,iterative expectation-maximization,overlapping subimages,parameter identification,slowly varying blurs,stationary blur,convolution,forensics,expectation maximization,linear systems,information theory,pixel,astronomy,image restoration,degradation | Conference | 1520-6149 |
Citations | PageRank | References |
9 | 2.71 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lagendijk, R.L. | 1 | 1035 | 164.21 |
| Biemond, J. | 2 | 86 | 56.07 |