# Image and Signal Denoising Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/image-and-signal-denoising-methods-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,531,936 |
| Description | This cluster of papers encompasses a wide range of techniques and algorithms for image denoising, including sparse representations, wavelet transform, deep learning with convolutional neural networks, non-local means, and methods specific to handling different types of noise such as Gaussian, Poisson, and salt-and-pepper noise. The applications also extend to hyperspectral imaging and the use of anisotropic diffusion for speckle reduction. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T10688 |
| Works | 92,583 |

## Topic researchers

Showing 12 of 20.

- [Kaiming He](https://scholariq.org/researchers/kaiming-he/)
- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [Andrew Zisserman](https://scholariq.org/researchers/andrew-zisserman/)
- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Vladimir Vapnik](https://scholariq.org/researchers/vladimir-vapnik/)
- [Jerome H. Friedman](https://scholariq.org/researchers/jerome-h-friedman/)
- [David Haussler](https://scholariq.org/researchers/david-haussler/)
- [Christian Szegedy](https://scholariq.org/researchers/christian-szegedy/)
- [Luc Van Gool](https://scholariq.org/researchers/luc-van-gool/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.