Name
Abstract | ||
|---|---|---|
A Matlab tool called Gide allows user-aided deblurring of images. Gide helps practitioners restore a blurred grayscale image using their knowledge or intuition about the true image. At the same time, it safeguards from possible bias by validating the choice using statistical diagnostics, based on an assumption of Gaussian added noise. Gide also allows practitioners (or students) to visually explore the range of statistically likely solutions resulting from any of three regularization methods: Tikhonov, truncated SVD, and total variation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MCSE.2015.51 | Computing in Science and Engineering |
Keywords | Field | DocType |
graphics,gaussian processes,gaussian noise,image processing,statistical noise,noise measurement,scientific computing | Tikhonov regularization,Computer vision,Statistical noise,Deblurring,Computer science,Image processing,Theoretical computer science,Regularization (mathematics),Artificial intelligence,Image restoration,Gaussian noise,Grayscale | Journal |
Volume | Issue | ISSN |
17 | 3 | 1521-9615 |
Citations | PageRank | References |
1 | 0.40 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brianna R. Cash | 1 | 1 | 0.40 |
| O'Leary, Dianne P. | 2 | 1064 | 222.93 |