Name
Abstract | ||
|---|---|---|
Since the proposal of big data analysis and Graphic Processing Unit (GPU), the deep learning technology has received a great deal of attention and has been widely applied in the field of imaging processing. In this paper, we have an aim to completely review and summarize the deep learning technologies for image denoising proposed in recent years. Morever, we systematically analyze the conventional machine learning methods for image denoising. Finally, we point out some research directions for the deep learning technologies in image denoising. |
Year | Venue | Field |
|---|---|---|
2018 | ICGEC | Convolutional neural network,Computer science,Image denoising,Artificial intelligence,Deep learning,Big data,Machine learning |
DocType | Volume | Citations |
Journal | abs/1810.05052 | 1 |
PageRank | References | Authors |
0.35 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunwei Tian | 1 | 134 | 9.42 |
| Yong Xu | 2 | 9 | 9.53 |
| Lunke Fei | 3 | 419 | 30.97 |
| Yan Ke | 4 | 2581 | 191.93 |