Image Denoising State-of-the-art
A curated list of image denoising resources and a benchmark for image denoising approaches.
State-of-the-art algorithms
Filter
- BM3D [Web] [Code] [PDF]
- Image restoration by sparse 3D transform-domain collaborative filtering (SPIE Electronic Imaging 2008), Dabov et al.
- Activity-tuned Image Filtering [PDF]
- Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing (Arxiv 2017), Lijun Zhao, Jie Liang, Huihui Bai, Lili Meng, Anhong Wang, and Yao Zhao.
Sparse Coding
- KSVD [Web] [Code] [PDF]
- Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (TIP2006), Elad et al.
- SAINT [Web] [Code] [PDF]
- Nonlocal image restoration with bilateral variance estimation: a low-rank approach (TIP2013), Dong et al.
- NCSR [Web] [Code] [PDF]
- Nonlocally Centralized Sparse Representation for Image Restoration (TIP2012), Dong et al.
- LSSC [Web] [Code] [PDF]
- Non-local Sparse Models for Image Restoration (ICCV2009), Mairal et al.
Effective Prior
- EPLL [Web] [Code] [PDF]
- From Learning Models of Natural Image Patches to Whole Image Restoration (ICCV2011), Zoran et al.
- Bayesian Hyperprior [PDF]
- A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation with an Application to HDR Imaging, Cecilia Aguerrebere, Andres Almansa, Julie Delon, Yann Gousseau and Pablo Muse.
- External Prior Guided [PDF]
- External Prior Guided Internal Prior Learning for Real Noisy Image Denoising, Jun Xu, Lei Zhang, and David Zhang.
- Multi-Layer Image Representation [PDF]
- A Multi-Layer Image Representation Using Regularized Residual Quantization: Application to Compression and Denoising, Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov.
- A Faster Patch Ordering [PDF]
- A Faster Patch Ordering Method for Image Denoising, Badre Munir.
Low Rank
- WNNM [Web] [Code] [PDF]
- Weighted Nuclear Norm Minimization with Application to Image Denoising (CVPR2014), Gu et al.
- Multi-channel Weighted Nuclear Norm [PDF]
- Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising (Arxiv 2017), Jun Xu, Lei Zhang, David Zhang, and Xiangchu Feng.
Deep Learning
- TNRD [Web] [Code] [PDF]
- Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration (TPAMI2016), Chen et al.
- DnCNN [Web] [PDF]
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP2017), Zhang et al.
- DAAM [Web] [PDF]
- Deeply Aggregated Alternating Minimization for Image Restoration (Arxiv2016), Youngjung Kim et al.
- Adversirial Denoising [PDF]
- Image Denoising via CNNs: An Adversarial Approach (Arxiv2017), Nithish Divakar, R. Venkatesh Babu.
- Unrolled Optimization Deep Priors [PDF]
- Unrolled Optimization with Deep Priors (Arxiv2017), Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein.
- Wider Network [PDF]
- Going Wider with Convolution for Image Denoising (Arxiv2017), Peng Liu, Ruogu Fang.
- Recurrent Inference Machines [PDF]
- Recurrent Inference Machines for Solving Inverse Problems, Patrick Putzky, Max Welling.
- Learning Pixel-Distribution Prior [PDF]
- Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising (Arxiv2017), Peng Liu, Ruogu Fang.
- DenoiseNet [PDF][Code]
- Deep Convolutional Denoising of Low-Light Images (Arxiv2017), Tal Remez, Or Litany, Raja Giryes, Alex M. Bronstein.
Combined with High-Level Tasks
- Meets High-level Tasks [PDF]
- When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach, Ding Liu (Arxiv2017), Bihan Wen, Xianming Liu, Thomas S. Huang.
- Class-Specific Denoising [PDF]
- Class-Specific Poisson Denoising By Patch-Based Importance Sampling (Arxiv2017), Milad Niknejad, Jose M. Bioucas-Dias, Mario A. T. Figueiredo.