Learning Deep CNN Denoiser Prior for Image Restoration

Zhang, Kai, Zuo, Wangmeng, Gu, Shuhang, Zhang, Lei·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2017.300

Cited by (2,094)

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    Hui Zhang, Chuan Wang, Nenglun Chen · 2020 · ACM International Conference on Multimedia (ACM MM)
  2. QISTA-Net: DNN Architecture to Solve $\ell_q$-norm Minimization Problem and Image Compressed Sensing
    Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu · 2020 · arXiv (Cornell University)
  3. An Efficient Hardware Architecture for Exploiting Sparsity in Neural Networks
    Dylan Malone Stuart · 2019 · TSpace (University of Toronto)
  4. Super Resolution Enhancement of Satellite Remote Sensing Images of Transmission Tower Based on Multi-map Residual Network and Wavelet Transform
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  5. BSR: A Balanced Framework For Single Image Super Resolution
    Dehui Kong, Fang Zhu, Wei Yang · 2020
  6. Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
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  7. Deep CNN Prior Based Image Reconstruction for Multispectral Imaging
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  8. Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer
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  9. Plug-and-Play external and internal priors for image restoration.
    Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani · 2021 · arXiv (Cornell University)
  10. Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images
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  11. Hole Concealment Algorithm Using Camera Parameters in Stereo 360 Virtual Reality System
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  12. A CNN Denoiser using Image Restoration
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  13. Asymmetric CNN for image super-resolution
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  14. Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks
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  15. DeblurRL: Image Deblurring with Deep Reinforcement Learning
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  16. Searching Efficient Model-guided Deep Network for Image Denoising
    Ning, Qian, Weisheng Dong, Xin Li · 2021 · arXiv (Cornell University)
  17. An Image Restoration Architecture using Abstract Features and Generative Models
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  18. Combination of temporal and spatial denoising methods for cine MRI
    Tsubasa Maeda, Satoshi Tamura, Satoru Hayamizu · 2021 · IEEE Global Conference on Life Sciences and Technologies (LifeTech)
  19. A Deep Neural Network based efficient Software-Hardware Co-design Architecture for Sparsity Exploration
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  20. Tensor Completion via Convolutional Sparse Coding Regularization
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  21. Quantized Proximal Averaging Network for Analysis Sparse Coding
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  22. Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network
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  23. Exploiting Aliasing for Manga Restoration
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  24. Phase retrieval with physics informed zero-shot learning
    Sanjeev Kumar · 2021 · arXiv (Cornell University)
  25. Dynamic Proximal Unrolling Network for Compressive Sensing Imaging.
    Yixiao Yang, Ran Tao, Kaixuan Wei · 2021 · arXiv (Cornell University)
  26. Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography
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  27. Recover The Residual Of Residual: Recurrent Residual Refinement Network For Image Super-Resolution
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  28. Investigating Customization Strategies and Convergence Behaviors of Task-specific ADMM
    Risheng Liu, Pan Mu, Jin Zhang · 2019 · arXiv (Cornell University)
  29. Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
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  30. TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
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  31. OGFNet: Original Resolution Subnetwork and GRU Based Feature Fusion Network for Image Denoising
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  32. A Fast Domain Adaptation Network for Image Super-Resolution
    Hongyang Zhou, Han Zheng, Wenli Zheng, Yifan Chen, Fenghai Li · 2021 · Lecture notes in computer science
  33. Functional Neural Networks for Parametric Image Restoration Problems
    Fangzhou Luo, Xiaolin Wu, Yanhui Guo · 2021 · arXiv (Cornell University)
  34. A More Focus on Multi-degradation Method for Single Image Super-Resolution
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  35. Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
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  36. Extended JPEG Decoders With Luma Restoration and Luma-Guided Chroma Restorations
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  37. The System for Eliminating Blurring of Text Images Using Convolutional Neural Networks
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  38. Unsupervised Color Retention Network and New Quantization Metric for Blind Motion Deblurring
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  39. Deep Autoencoder Multi-Exposure HDR Imaging
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  43. Deep Learning Based Single Image Super Resolution
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  63. In Focus - hybrid deep learning approaches to the HDC2021 challenge
    Clemens Arndt, Alexander Denker, Judith Nickel · 2022 · Inverse Problems and Imaging
  64. Image noise removal using optimal deep learning-based noisy pixel identification and image enhancement
    S. P. Premnath, J. Arokia Renjith, John Patrick Ananth · 2021 · The Imaging Science Journal
  65. Image Super-Resolution with Multi-scale Residual Dense Feature aggregation Networks
    Lintao Ye, Changjun Zou, Hangbin Xu · 2023 · Research Square
  66. Actor-Critic Bilateral Filter for Noise-Robust Image Smoothing
    Yijie Chen, Yen-Chiao Wang, Bo‐Hao Chen · 2022 · IEEE International Symposium on Multimedia (ISM)
  67. Factorization guided lightweight neural networks for visual analysis
    Bin Sun · 2022
  68. A Successive Variational Model for Multiplicative Noise and Blur Removal
    Suman Kumar Maji, Ramesh Kumar Thakur · 2022 · IEEE India Council International Conference (INDICON)
  69. Learning image blind denoisers without explicit noise modeling
    Lin Nie, Junfan Lin, Wenxiong Kang, Yukai Shi, Liang Lin · 2023 · Multimedia Tools and Applications
  70. Group Sparsity Residual Constraint Image Denoising Model with 𝒍1/𝒍2 Regularization
    Di Wu, Tao Zhang, Xutao Mo · 2023 · Wuhan University Journal of Natural Sciences
  71. Image denoising method based on double-branch hole residual convolutional neural network
    Yue Su, Xinlei Jia, Yali Peng, Shigang Liu · 2022 · International Academic Exchange Conference on Science and Technology Innovation (IAECST)
  72. Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
    Svenja Ehlers, Marco Klein, Alexander Heinlein, Mathies Wedler, Nicolas Desmars, Norbert Hoffmann, M. Stender · 2023 · arXiv (Cornell University)
  73. Model Watermarking for Deep Neural Networks of Image Recovery
    Yuhui Quan, Huan Teng · 2022 · Springer eBooks
  74. Generative models improve radiomics
    Junhua Chen · 2023
  75. Image Restoration Based on Gabor—Based Algorithm Unrolling Convolutional Neural Network
    璐 孙 · 2023 · Computer Science and Application
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  81. CS-PCN: Context-Space Progressive Collaborative Network for Image Denoising
    Yuqi Jiang, Chune Zhang, Jiao Liu · 2023 · IEEE International Conference on Multimedia and Expo (ICME)
  82. Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization
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  83. Influence of adversarial training on super-resolution turbulence reconstruction
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  84. A Plug and Play Framework for Curvilinear Structures Segmentation Based on a Learned Reconnecting Regularization
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  85. Iterative Decoupling Deconvolution Network for Image Restoration
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  87. Attention-based U-Net Denoising Network
    Diyang Zhu · 2023 · IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE)
  88. On the Contractivity of Plug-and-Play Operators
    Chirayu D. Athalye, Kunal N. Chaudhury, Bhartendu Kumar · 2023 · Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan)
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  91. CARDNet: A Denoiser Based on Contrast-Aware and Residual-Dense Block
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  92. Research on image recognition based on the yolov3 model in an extreme environment
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  95. MFFNet: A multi-frequency feature extraction and fusion network for visual processing
    Jinsheng Deng, Zhichao Zhang, Xiaoqing Yin · 2022 · Bulletin of the Polish Academy of Sciences Technical Sciences
  96. Experiments with a Number of Convolutional Neural Networks for Evaluating the Super-Resolution Technique
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  97. An Denoising Method Low-Dose CT Image Using Image Restoration Convolutional Neural Network
    Yuta Sadamatsu, Seiichi Murakami, Guangxu Li · 2023 · International Conference on Control, Automation and Systems (ICCAS)
  98. SA-CCSNet: Saliency-Aware Cascade Network for Image Compressed Sensing
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  99. Enhancing Image Quality: A Comparative Study of Spatial, Frequency Domain, and Deep Learning Methods
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