Name
Title | ||
|---|---|---|
An image denoising algorithm for mixed noise combining nonlocal means filter and sparse representation technique. |
Abstract | ||
|---|---|---|
•A customized blockwise nonlocal means (CBNLM) filter is proposed to generate an initial denoised image.•Different noisy pixels are classified according to three-sigma rule which is related to the noise distribution feature.•A complementary sparse coding technique is used to find the sparse vector for each input noisy patch. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jvcir.2016.09.007 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Image denoising,Mixed noise,Nonlocal means,Noise classification,Complementary sparse coding,Sparse representation | Noise reduction,Pattern recognition,Non-local means,Sparse approximation,Filter (signal processing),Algorithm,Artificial intelligence,Pixel,Impulse noise,Gaussian noise,Video denoising,Mathematics | Journal |
Volume | ISSN | Citations |
41 | 1047-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingyue Zhou | 1 | 25 | 3.89 |
| Maosong Lin | 2 | 0 | 0.34 |
| Su Xu | 3 | 41 | 8.26 |
| Hongbin Zang | 4 | 1 | 0.69 |
| Hongsen He | 5 | 23 | 4.89 |
| Qiang Li | 6 | 32 | 2.05 |
| Jin Guo | 7 | 1 | 0.70 |