Name
Abstract | ||
|---|---|---|
We propose an adaptive learning procedure to learn patch-based image priors for image denoising. The new algorithm, called the expectation-maximization (EM) adaptation, takes a generic prior learned from a generic external database and adapts it to the noisy image to generate a specific prior. Different from existing methods that combine internal and external statistics in ad hoc ways, the propose... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2590318 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Noise reduction,Databases,Noise measurement,Image denoising,Bayes methods,Gaussian mixture model | Journal | 25 |
Issue | ISSN | Citations |
10 | 1057-7149 | 17 |
PageRank | References | Authors |
0.54 | 44 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enming Luo | 1 | 84 | 6.63 |
| Stanley H. Chan | 2 | 403 | 30.95 |
| Truong Q. Nguyen | 3 | 1402 | 136.69 |