reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

Criteria: works must have codes available, and the reproducible results demonstrate state-of-the-art performances.

This collection is inspired by the summary by flyywh

Denoising Algorithms

Filter

• NLM [Web] [Code] [PDF]
  • A non-local algorithm for image denoising (CVPR 05), Buades et al.
  • Image denoising based on non-local means filter and its method noise thresholding (SIVP2013), B. Kumar
• BM3D [Web] [Code] [PDF]
  • Image restoration by sparse 3D transform-domain collaborative filtering (SPIE Electronic Imaging 2008), Dabov et al.
• PID [Web] [Code] [PDF]
  • Progressive Image Denoising (TIP 2014), C. Knaus et al.

Sparse Coding

• KSVD [Web] [Code] [PDF]
  • Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (TIP 2006), Elad et al.
• LSSC [Web] [Code] [PDF]
  • Non-local Sparse Models for Image Restoration (ICCV 2009), Mairal et al.
• NCSR [Web] [Code] [PDF]
  • Nonlocally Centralized Sparse Representation for Image Restoration (TIP 2012), Dong et al.
• OCTOBOS [Web] [Code] [PDF]
  • Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications (IJCV 2015), Wen et al.
• GSR [Web] [Code] [PDF]
  • Group-based Sparse Representation for Image Restoration (TIP 2014), Zhang et al.

Effective Prior

• EPLL [Web] [Code] [PDF]
  • From Learning Models of Natural Image Patches to Whole Image Restoration (ICCV2011), Zoran et al.
• GHP [[Web]][Code] [PDF]
  • Texture Enhanced Image Denoising via Gradient Histogram Preservation (CVPR2013), Zuo et al.
• PGPD [[Web]][Code] [PDF]
  • Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising (ICCV 2015), Xu et al.
• PCLR [[Web]][Code] [PDF]
  • External Patch Prior Guided Internal Clustering for Image Denoising (ICCV 2015), Chen et al.  

Low Rank

• SAIST [Web] [Code by request] [PDF]
  • Nonlocal image restoration with bilateral variance estimation: a low-rank approach (TIP2013), Dong et al.
• WNNM [Web] [Code] [PDF]
  • Weighted Nuclear Norm Minimization with Application to Image Denoising (CVPR2014), Gu et al.
• Multi-channel WNNM [Web] [Code] [PDF]
  • Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising (ICCV 2017), Xu et al.

Deep Learning

• SF [Web] [Code] [PDF]
  • Shrinkage Fields for Effective Image Restoration (CVPR 2014), Schmidt et al.
• TNRD [Web] [Code] [PDF]
  • Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration (TPAMI 2016), Chen et al.
• RED [Web] [Code] [PDF]
  • Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS2016), Mao et al.
• DnCNN [Web] [Code] [PDF]
  • Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP2017), Zhang et al.
• MemNet [Web] [Code] [PDF]
  • MemNet: A Persistent Memory Network for Image Restoration (ICCV2017), Tai et al.
• WIN [Web] [Code] [PDF]
  • Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising (Arxiv), Liu et al.
• F-W Net [Web] [Code] [PDF]
  • L_p-Norm Constrained Coding With Frank-Wolfe Network (Arxiv), Sun et al.
• Deep image prior [Web] [Code] [PDF]
  • Deep Image Prior (CVPR 2018), Ulyanov et al.
• xUnit [Web] [Code] [PDF]
  • xUnit: Learning a Spatial Activation Function for Efficient Image Restoration (Arxiv), Kligvasser et al.
• Wavelet-CNN [Web] [Code] [PDF]
  • Multi-level Wavelet-CNN for Image Restoration (Arxiv), Liu et al.
• NLRN [Web] [Code] [PDF]
  • Non-Local Recurrent Network for Image Restoration (Arxiv), Liu et al.

Sparsity and Low-rankness Combined

• STROLLR-2D [PDF] [Code]
  • When Sparsity Meets Low-Rankness: Transform Learning With Non-Local Low-Rank Constraint for Image Restoration (ICASSP 2017), Wen et al.

Combined with High-Level Tasks

• Meets High-level Tasks [PDF] [Code]
  • When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach (IJCAI 2018), Liu et al.

Benchmark

• ReNOIR [Web] [Data] [PDF]
  • RENOIR - A Dataset for Real Low-Light Image Noise Reduction (Arxiv 2014), Anaya, Barbu.
• Darmstadt [Web] [Data] [PDF]
  • Benchmarking Denoising Algorithms with Real Photographs (CVPR 2017), Tobias Plotz, Stefan Roth.