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.

Benchmark

• ReNOIR [PDF] [WEB]
  • RENOIR - A Dataset for Real Low-Light Image Noise Reduction(Arxiv2014), Josue Anaya, Adrian Barbu
• Darmsdadt [PDF] [WEB]
  • Benchmarking Denoising Algorithms with Real Photographs (CVPR2017), Tobias Plotz, Stefan Roth.