There are three main factors to divide these papers into different catrgories to have a better idea.
Sometimes raw domain denoising papers would use some ISP to convert to sRGB domain, So use Both to cover this situation.
Sometimes video denoising papers degrade to burst denoising, even single image denoising, always use Video tag to cover this situation.
-
Color Space
- RGB
- Raw
- Both
-
Image Kind
- Single
- Burst
- Video
-
Noise Model
- AWGN(Additive White Gaussian Noise model)
- PG(Posion Gaussian noise model)
- GAN(Gan based noise model)
- Real(camera or dlsr devices real noise model)
- Prior
- Low Rank
- Sparsity
- self similarity
- SIDD, CVPR 2018, citation 101
- RENOIR, JVCIR 2018, citation 57
- PolyU, arxiv 2018, citation 55
- SID, CVPR 2018, citation 253
- DND, CVPR 2017, citation 164
- NaM, CVPR 2016, citation 84
Year | Publication | Title | Code | Citation |
---|---|---|---|---|
2016 | CVPR | Deep Gaussian conditional random field network: A model-based deep network for discriminative denoising | - | 53 |
2016 | CVPR | From Noise Modeling to Blind Image Denoising | - | 44 |
2016 | TIP | Patch-based video denoising with optical flow estimation | - | 64 |
2016 | ToG | Deep joint demosaicking and denoising | - | 205 |
2016 | ICASSP | Fast depth image denoising and enhancement using a deep convolutional network | - | 41 |
2015 | ICCV | An efficient statistical method for image noise level estimation | - | 103 |
2015 | TIP | Image-specific prior adaptation for denoising | - | 16 |
2015 | IPOL | The noise clinic: a blind image denoising algorithm | - | 76 |
2014 | TIP | Practical signal-dependent noise parameter estimation from a single noisy image | - | 55 |
2014 | - | Photon, Poisson Noise | - | 67 |
2012 | CVPR | Image denoising: Can plain neural networks compete with BM3D? | - | 911 |
2012 | ICIP | The dominance of Poisson noise in color digital cameras | - | 22 |
2009 | SP | Clipped noisy images: Heteroskedastic modeling and practical denoising | - | 113 |
2008 | TIP | Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data | Matlab | 552 |
2007 | TIP | Image denoising by sparse 3-D transform-domain collaborative filtering | - | 6029 |
2007 | TPAMI | Automatic estimation and removal of noise from a single image | - | 520 |
2005 | CVPR | A non-local algorithm for image denoising | - | 6020 |
2019 | Books | CMOS: Circuit Design, Layout, and Simulation: Forth Edition | - | 4870 |
2018 | Books | Denoising of photographic images and video: fundamentals, open challenges and new trends | - | 5 |