Learning Deep CNN Denoiser Prior for Image Restoration

Cited by (2,094)

Items 1,201–1,300 of 2,094

1. Learning filter selection policies for interpretable image denoising in parametrised action space
   Runtao Xi, Jiahao Lyu, Tian Ma, Kang Sun, Yu Zhang, Xiaolin Chen · 2023 · IET Image Processing
2. A hybrid structural sparse model for image restoration
   Wei Yuan, Han Liu, Lili Liang, Wenqing Wang, Ding Liu · 2023 · Optics & Laser Technology
3. Dtsr: detail-enhanced transformer for image super-resolution
   Xiaoqian Huang, Detian Huang, Qin Huang · 2023 · The Visual Computer
4. SW/SE-CNN: semi-wavelet and specific image edge extractor CNN for Gaussian image denoising
   Shahram Esteki, Ahmad Reza Naghsh‐Nilchi · 2024 · Neural Computing and Applications
5. A Dynamic Network with Transformer for Image Denoising
   Mingjian Song, Wenbo Wang, Yue Zhao · 2024 · Electronics
6. Optimized RainDNet: an efficient image deraining method with enhanced perceptual quality
   Debesh Kumar Shandilya, Spandan Roy, Navjot Singh · 2024 · Signal Image and Video Processing
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   Weike Chang, Nicola D'Ascenzo, E. Antonecchia, Bing-Xuan Li, Jigang Yang, Dengyun Mu, Ang Li, Qing-Guo Xie · 2024 · Physics in Medicine and Biology
8. Kernel Diffusion: An Alternate Approach to Blind Deconvolution
   Yash Sanghvi, Yiheng Chi, Stanley H. Chan · 2024 · Lecture notes in computer science
9. Dynamic Window Transformer for Image Super-Resolution
   Zheng Xie, Zhongxun Wang, Tianci Qin · 2024 · Lecture notes in computer science
10. Efficient Non-Blind Image Deblurring With Discriminative Shrinkage Deep Networks
    Pin-Hung Kuo, Jinshan Pan, Shao‐Yi Chien, Ming–Hsuan Yang · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
11. Spatially Adaptive Losses for Video Super-resolution with GANs
    Xijun Wang, Alice M. Lucas, Santiago López-Tapia · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
12. Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
    Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo · 2018 · International Joint Conference on Artificial Intelligence
13. Deep slice interpolation via marginal super-resolution, fusion, and refinement
    Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou · 2023 · Elsevier eBooks
14. Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration
    Minghui Zhang, Yuan Yuan, Fengqin Zhang · 2019 · IEEE Access
15. Differential Information Residual Convolutional Neural Network for Pansharpening
    Menghui Jiang, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Xinxin Liu, Mingming Xu · 2019 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
16. Energy Dissipation with Plug-and-Play Priors
    Hendrik Sommerhoff, Andreas Kolb, Michael Moeller · 2019
17. Flashlight CNN Image Denoising
    Pham Huu Thanh Binh, Cristóvão Cruz, Karen Egiazarian · 2020 · European Signal Processing Conference (EUSIPCO)
18. RWRM: Residual Wasserstein regularization model for image restoration
    Ruiqiang He, Xiangchu Feng, Xiaolong Zhu · 2020 · Inverse Problems and Imaging
19. A Real-Time Star Tailing Removal Method Based on Fast Blur Kernel Estimations
    Yaxian Hou, Rujin Zhao, Yuebo Ma · 2021 · Mathematical Problems in Engineering
20. Gated Texture CNN for Efficient and Configurable Image Denoising
    Kaito Imai, Takamichi Miyata · 2020 · Lecture notes in computer science
21. Low‐light image enhancement based on exponential Retinex variational model
    Xinyu Chen, Jinjiang Li, Zhen Hua · 2021 · IET Image Processing
22. Image Restoration Based on End-to-End Unrolled Network
    Xiaoping Tao, Hao Zhou, Yueting Chen · 2021 · Photonics
23. Blind image super-resolution based on prior correction network
    Xiang Guang Cao, Yihao Luo, Yi Xiao · 2021 · Neurocomputing
24. Towards Boosting Channel Attention for Real Image Denoising: Sub-band Pyramid Attention
    Huayu Li, Haiyu Wu, Xiwen Chen · 2021 · Lecture notes in computer science
25. A new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
    Chenxi Huang, Danfeng Hong, Chenhui Yang · 2021 · Neural Computing and Applications
26. Astronomical image denoising based on Convolutional Neural Network
    Ahmed. A. Elhakiem, Tarek S. Ghoniemy, Gouda I. Salama · 2021 · International Conference on Intelligent Computing and Information Systems (ICICIS)
27. Depth Map Super-Resolution via Cascaded Transformers Guidance
    Ido Ariav, Israel Cohen · 2022 · Frontiers in Signal Processing
28. Structural Feature-Preserving Point Cloud Denoising Method for Aero-Engine Profile
    Jieqiong Yan, Laishui Zhou, Jun Wang · 2022 · International Journal of Aerospace Engineering
29. An Unsupervised Weight Map Generative Network for Pixel-Level Combination of Image Denoisers
    Lijia Yu, Jie Luo, Shaoping Xu · 2022 · Applied Sciences
30. Iterative deep neural networks based on proximal gradient descent for image restoration
    Ting Lv, Zhenkuan Pan, Weibo Wei, Guangyu Yang, Jintao Song, Xuqing Wang, Lu Sun, Qian Li, Xiatao Sun · 2022 · PLoS ONE
31. RDRN: Recursively Defined Residual Network for Image Super-Resolution
    Panaetov Alexander, Karim Elhadji Daou, Igor Samenko · 2023 · Lecture notes in computer science
32. Swin-TCNet: Swin-based temporal-channel cascade network for motor imagery iEEG signal recognition
    Mingyue Xu, Wenhui Zhou, Xingfa Shen, Yuhan Wang, Liangyan Mo, Junping Qiu · 2023 · Biomedical Signal Processing and Control
33. A Triple Deep Image Prior Model for Image Denoising Based on Mixed Priors and Noise Learning
    Yong Hu, Shaoping Xu, Xiaohui Cheng · 2023 · Applied Sciences
34. Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training
    Haram Choi, Cheolwoong Na, Jinseop Kim, Jihoon Yang · 2023 · International Conference on Multimedia Retrieval
35. Unsupervised Deep Learning for Phase Retrieval via Teacher-Student Distillation
    Yuhui Quan, Zhile Chen, Tongyao Pang · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
36. G2-DUN: Gradient Guided Deep Unfolding Network for Image Compressive Sensing
    Wenxue Cui, Xingtao Wang, Xiaopeng Fan · 2023 · ACM International Conference on Multimedia (ACM MM)
37. Image Restoration using Plug-and-Play CNN MAP Denoisers
    Siavash Bigdeli, David Honzátko, Sabine E. Susstrunk, L. A. Dunbar · 2020 · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
38. Boosting Single Image Super-Resolution Learnt From Implicit Multi-Image Prior
    Dingjian Jin, Mengqi Ji, Lan Xu · 2021 · IEEE Transactions on Image Processing
39. A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
    Rao Muhammad Umer, Asad Munir, Christian Micheloni · 2021 · International Conference on Smart and Sustainable Technologies (SpliTech)
40. Pedestrian Gender Recognition by Style Transfer of Visible-Light Image to Infrared-Light Image Based on an Attention-Guided Generative Adversarial Network
    Na Rae Baek, Se Woon Cho, Ja Hyung Koo · 2021 · Mathematics
41. MuLoG: A Generic Variance-Stabilization Approach for Speckle Reduction in SAR Interferometry and SAR Polarimetry
    Charles‐Alban Deledalle, Laurent Denis, Florence Tupin · 2018 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
42. Plug-and-play inertial forward–backward algorithm for Poisson image deconvolution
    Tao He, Yasheng Sun, Biao Chen, Jin Qi, Wenhai Liu, Jie Hu · 2019 · Journal of Electronic Imaging
43. DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing
    Alberto Delmás, Sayeh Sharify, Patrick Judd, Kevin Siu, Miloš Nikolić, Andreas Moshovos · 2018 · arXiv (Cornell University)
44. CFSNet: Toward a Controllable Feature Space for Image Restoration
    Wei Wang, Ruiming Guo, Yapeng Tian · 2019 · arXiv (Cornell University)
45. Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
    Jiaming Liu, M. Salman Asif, Brendt E. Wohlberg, Ulugbek S. Kamilov · 2021 · arXiv (Cornell University)
46. Application of the improved Restormer model for walnut X-ray image denoising
    Haifeng Jiao, Hui Zhang, Long Wen · 2025 · Signal Image and Video Processing
47. Degradation-Guided cross-consistent deep unfolding network for video restoration under diverse weathers
    Yuanshuo Cheng, Mingwen Shao, Yecong Wan, Yuanjian Qiao, Wangmeng Zuo, Deyu Meng · 2025 · Neural Networks
48. SAR Super-Resolution Imaging and Recognition Integrated Network Based on Deep Learning Framework
    Hongwei Zhang, Xiaolin Zhao, Xuan Hao · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
49. LoFi: Neural Local Fields for Scalable Image Reconstruction
    AmirEhsan Khorashadizadeh, T.I Liaudat, Tianlin Liu, Jason D. McEwen, Ivan Dokmanić · 2025 · IEEE Transactions on Computational Imaging
50. ESF-GAN: Physics-Driven Electromagnetic Scattering Feature Fusion-Based GAN for SAR Image Augmentation
    Dan Gao, Xiaofang Wu, Zhijin Wen · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
51. Unsupervised Hybrid Transformer–Mamba Diffusion for Depth-Dependent Image Denoising in Scanning Acoustic Microscopy
    Trong Nhan Nguyen, Vu Hoang Minh Doan, Tan Hung Vo, Dang Khoa Pham, Dinh Dat Vu, Thi Thu Ha Vu, Truong Tien Vo, Quoc Dung Nguyen, Jaeyeop Choi, Junghwan Oh · 2026 · IEEE Transactions on Industrial Informatics
52. IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising
    Dongjin Kim, Jaekyun Ko, Muhammad Kashif Ali · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
53. A multi-scale channel attention network with federated learning for magnetic resonance image super-resolution
    Feiqiang Liu, Aiwen Jiang, Lihui Chen · 2024 · Multimedia Systems
54. An End-to-End Network for Rotary Motion Deblurring in the Polar Coordinate System
    Jinhui Qin, Yong Ma, Jun Huang, Zhanchuan Cai, Fan Fan, You Wei Du · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
55. Group-based weighted nuclear norm minimization for Cauchy noise removal with TV regularization
    Wen Gao, Jianguang Zhu, Binbin Hao · 2024 · Digital Signal Processing
56. Deep Neural Networks for Estimating Regularization Parameter in Sparse Time–Frequency Reconstruction
    Vedran Jurdana · 2024 · Technologies
57. Integrating multi-scale attention network with deep image prior for single image restoration
    Cynthia Devi Arumugam, Balaji Banothu · 2024 · International Journal of Information Technology
58. Compressed sensing transformer unfolding network for high resolution image denoising
    Jie Zhang, Wenxiao Huang, Miaoxin Lu · 2025 · Complex & Intelligent Systems
59. Improving Detection And Recognition Of Degraded Faces By Discriminative Feature Restoration Using GAN
    Soumya Shubhra Ghosh, Hua Yang, Sankha Subhra Mukherjee · 2020 · Proceedings - International Conference on Image Processing
60. Blind motion deconvolution for binary images
    Xiao-Guang Lv, Jun Liu, Fang Li · 2021 · Journal of Computational and Applied Mathematics
61. Removing Impulsive Noise from Color Images via a Residual Deep Neural Network Enhanced by Post-Processing
    Sahar Sadrizadeh, Hatef Otroshi Shahreza, Farokh Marvasti · 2021 · European Signal Processing Conference (EUSIPCO)
62. Perceptual adversarial non-residual learning for blind image denoising
    Aamir Khan, Weidong Jin, Rizwan Ali Naqvi · 2022 · Soft Computing
63. Deep Unrolling for Light Field Compressed Acquisition Using Coded Masks
    Guillaume Le Guludec, Christine M. Guillemot · 2022 · IEEE Access
64. An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
    Fusong Xiong, Jian Zhang, Zhiqiang Zhang · 2022 · IEEE Access
65. Contour enhanced image super-resolution
    Linhua Kong, Yiming Wang, Dongxia Chang, Yao Zhao · 2022 · Journal of Visual Communication and Image Representation
66. Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors
    Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov · 2022 · IEEE Journal on Selected Areas in Information Theory
67. NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image Noise
    Sadat Hossain, Bumshik Lee · 2022 · Sensors
68. Study of Deep Learning-based models for Single Image Super-Resolution
    Omar Soufi, Fatima-Zahra Belouadha · 2022 · Revue d intelligence artificielle
69. Infrared image super-resolution method based on dual-branch deep neural network
    Huang Zhi-jian, Bingwei Hui, Sun Shujin · 2023 · The Visual Computer
70. Denoising Particle Beam Micrographs With Plug-and-Play Methods
    Minxu Peng, Ruangrawee Kitichotkul, Sheila W. Seidel, Christopher Yu, Vivek K Goyal · 2023 · IEEE Transactions on Computational Imaging
71. High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network
    Yulun Zhang, Donglai Wei, Richard Lee Schalek · 2023 · IEEE International Symposium on Biomedical Imaging (ISBI)
72. Artificial intelligence in cardiac MRI
    Vahid Ghodrati, J. Paul Finn · 2023 · Elsevier eBooks
73. Hybrid regularization inspired by total variation and deep denoiser prior for image restoration
    Liang Hu, Jiahao Zhang, Daisen Wei · 2024 · Complex & Intelligent Systems
74. NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing
    Shuai Bian, Shouliang Qi, Li Chen · 2024 · Circuits Systems and Signal Processing
75. Self-Augmented Noisy Image for Noise2Noise Image Denoising
    Asavaron Limsuebchuea, Rakkrit Duangsoithong, Pornchai Phukpattaranont · 2024 · IEEE Access
76. Non-systematic noise reduction framework for ToF camera
    Wuyang Zhang, Ping Song, Yunjian Bai · 2024 · Optics and Lasers in Engineering
77. Adams Optimized Image Restoration Using Multi-Level Wavelet CNN with Added Noise
    S Manikanta, V Vyshnavi, T Tharani Pragna · 2024 · IEEE Students Conference on Engineering and Systems (SCES)
78. Nonlocal Deep Unfolding Pansharpening Method Based on Degradation Kernel Estimation
    Dajiang Lei, Genyuan Zhang, Junming Wang · 2024 · IEEE Transactions on Geoscience and Remote Sensing
79. Edge-Aware Attention Transformer for Image Super-Resolution
    Haoqian Wang, Zhongyang Xing, Zhongjie Xu · 2024 · IEEE Signal Processing Letters
80. S 2 -CSNet: Scale-Aware Scalable Sampling Network for Image Compressive Sensing
    Hui Chen, Haiqi Zhu, Shuya Yan · 2024 · ACM International Conference on Multimedia (ACM MM)
81. Self-Supervised and Zero-Shot Learning in Multi-Modal Raman Light Sheet Microscopy
    Pooja Kumari, Johann Kern, Matthias Raedle · 2024 · Sensors
82. Edge and texture aware image denoising using median noise residue U-net with hand-crafted features
    Soniya S., K. C. Sriharipriya · 2025 · PeerJ Computer Science
83. Off-Focus-Image-Restoration-Based Three-Dimensional Particle Localization for Improved Measurement Resolution
    Jiyu Li, Buyun Chen, Shusheng Bi · 2025 · IEEE/ASME Transactions on Mechatronics
84. Hybrid ladybug Hawk optimization-enabled deep learning for multimodal Parkinson’s disease classification using voice signals and hand-drawn images
    Shanthini Shanmugam, A. Chandrasekar · 2025 · Network Computation in Neural Systems
85. Low-rank tensor recovery via jointing the non-convex regularization and deep prior
    Qing Liu, Huanmin Ge, Xinhua Su · 2025 · Neurocomputing
86. FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration
    Amit Monga, Hemkant Nehete, Partha Kaushik, Tharun Kumar Reddy, Balasubramanian Raman, Gaurav Sharma A · 2025 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
87. Robust Haze Removal Via Joint Deep Transmission and Scene Propagation
    Risheng Liu, Shiqi Li, Long Ma, Xin Fan, Haojie Li, Zhongxuan Luo · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
88. Denoising The Wireless Channel Corrupted Images Using Machine Learning
    Muhammad Sufian, Aimal Khan, Takreem Saeed, Zirak Khan · 2019 · ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
89. Two-stream deep sparse network for accurate and efficient image restoration
    Shuhui Wang, Ling Hu, Liang Li · 2020 · Computer Vision and Image Understanding
90. Unpaired Image Denoising
    Priyatham Kattakinda, Ambasamudram Narayanan Rajagopalan · 2020 · Proceedings - International Conference on Image Processing
91. Reconstructing the Noise Variance Manifold for Image Denoising
    Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou · 2020 · Lecture notes in computer science
92. Performance Comparison of Image Restoration techniques using CNN and their applications
    Manish Yadav, Namita Tiwari · 2021 · International Conference on Computing Methodologies and Communication (ICCMC)
93. Polymodal Method of Improving the Quality of Photogrammetric Images and Models
    Paweł Burdziakowski · 2021 · Energies
94. Evaluating deep neural networks for image document enhancement
    Lucas N. Kirsten, Ricardo Piccoli, Ricardo Ribani · 2021 · ACM Symposium on Document Engineering (DocEng)
95. What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty
    Canberk Ekmekci, Müjdat Çetin · 2021 · IEEE International Conference on Computer Vision Workshops
96. Alternative Design of DeepPDNet in the Context of Image Restoration
    Mingyuan Jiu, Nelly Pustelnik · 2022 · IEEE Signal Processing Letters
97. Fuzzy Image Processing Based on Deep Learning: A Survey
    Shoucun Chen, Jing Zhang, Tianchi Zhang · 2022 · Lecture notes in electrical engineering
98. High-Speed Large-Scale Imaging Using Frame Decomposition From Intrinsic Multiplexing of Motion
    Daoyu Li, Liheng Bian, Jun Zhang · 2022 · IEEE Journal of Selected Topics in Signal Processing
99. Efficient Self-Calibrated Convolution for Real-Time Image Super-Resolution
    Adnan Hamida, Motaz Alfarraj, Salam A. Zummo · 2022 · Proceedings - International Conference on Image Processing
100. DRFENet: An Improved Deep Learning Neural Network via Dilated Skip Convolution for Image Denoising Application
     Ruizhe Zhong, Qingchuan Zhang · 2022 · Applied Sciences