Name
Title | ||
|---|---|---|
Automatic Parameter Prediction For Image Denoising Algorithms Using Perceptual Quality Features |
Abstract | ||
|---|---|---|
A natural scene statistics (NSS) based blind image denoising approach is proposed, where denoising is performed without knowledge of the noise variance present in the image. We show how such a parameter estimation can be used to perform blind denoising by combining blind parameter estimation with a state-of-the-art denoising algorithm. 1 Our experiments show that for all noise variances simulated on a varied image content, our approach is almost always statistically superior to the reference BM3D implementation in terms of perceived visual quality at the 95% confidence level. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.912243 | HUMAN VISION AND ELECTRONIC IMAGING XVII |
Keywords | Field | DocType |
denoising,algorithms | Noise reduction,Computer vision,Pattern recognition,Non-local means,Image quality,Scene statistics,Artificial intelligence,Estimation theory,Confidence interval,Video denoising,Perception,Physics | Conference |
Volume | ISSN | Citations |
8291 | 0277-786X | 6 |
PageRank | References | Authors |
0.46 | 29 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anish Mittal | 1 | 877 | 24.02 |
| Anush K. Moorthy | 2 | 689 | 24.45 |
| Alan C. Bovik | 3 | 5062 | 349.55 |