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)

Cited by (2,096)

Items 1,101–1,200 of 2,096

  1. Basis Prediction Networks for Effective Burst Denoising with Large Kernels
    Zhihao Xia, Federico Perazzi, Michaël Gharbi · 2019 · arXiv (Cornell University)
  2. PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
    Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki · 2019 · arXiv (Cornell University)
  3. SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
    Cheng Peng, Wei-An Lin, Haofu Liao · 2020 · arXiv (Cornell University)
  4. Unsupervised Color Retention Network and New Quantization Metric for Blind Motion Deblurring
    Suiyi Zhao, Zhao Zhang, Richang Hong · 2021
  5. A Residual UNet Denoising Network Based on Multi-Scale Feature Extraction and Attention-Guided Filter
    Hualin Liu, Zhe Li, Shijie Lin, Libo Cheng · 2023 · Sensors
  6. Joint Demosaicing and Denoising with Frequency Domain Features
    Feiyu Li, Jun An Yang · 2023 · Lecture notes in computer science
  7. Prompt-Agent-Driven Integration of Foundation Model Priors for Low-Count PET Reconstruction
    Xingyu Xie, Wenjie Zhao, Mu Nan · 2025 · IEEE Transactions on Medical Imaging
  8. TDU-DLNet: A transformer-based deep unfolding network for dictionary learning
    Kai Wu, Jing Dong, Guilan Hu · 2025 · Signal Processing
  9. Image blind denoising using dual convolutional neural network with skip connection
    Wencong Wu, Shicheng Liao, Guannan Lv, Peng Liang, Yungang Zhang · 2025 · Signal Processing Image Communication
  10. Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
    Chonghang Zhao, Mingyuan Ge, Xiaogang Yang, Yong S. Chu, Hanfei Yan · 2025 · npj Computational Materials
  11. Improved Harmony Search Approach based DCNN for Image Restoration Model
    Sathish Vuyyala · 2022 · Multimedia Research
  12. Low Dose CT Image Reconstruction Using Deep Convolutional Residual Learning Network
    Shalini Ramanathan, Mohan Ramasundaram · 2023 · SN Computer Science
  13. Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement
    Jun Ma, Yuanzhi Zhu, Chenyu You, Bo Wang · 2023 · Lecture notes in computer science
  14. Multi-Event Location Denoising Scheme for φ-OTDR Based on FFDNet Network
    Xiyu Yang, Shuai Li, Yanping Xu, Zhaojun Liu, Zengguang Qin · 2023 · Photonics
  15. An Effective Approach for Image Denoising Using Wavelet Transform Involving Deep Learning Techniques
    Abhay Shukla, K.S. Seethalakshmi, P Hema · 2023 · International Conference on Smart Electronics and Communication (ICOSEC)
  16. Coupled Matrix Factorization Constrained Deep Hyperspectral and Multispectral Image Fusion
    Xiaoyang Wu, Song Xiao, Wenqian Dong, Jiahui Qu, Tongzhen Zhang, Yunsong Li · 2024 · IEEE Sensors Journal
  17. Deep Convolutional Dictionary Learning Denoising Method Based on Distributed Image Patches
    Luqiao Yin, Wenqing Gao, Jingjing Liu · 2024 · Electronics
  18. Group sparsity residual constraint model with weighted log-sum penalty for image restoration
    Tao Zhang, Weiyu Li, Di Wu · 2024 · Signal Processing
  19. Real-World Scene Image Enhancement with Contrastive Domain Adaptation Learning
    Yongheng Zhang, Yuanqiang Cai, Danfeng Yan, Rongheng Lin · 2024 · ACM Transactions on Multimedia Computing Communications and Applications
  20. Iteratively Regularizing Hyperspectral and Multispectral Image Fusion With Framelets
    Xiangfei Shen, Lihui Chen, Haijun Liu · 2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  21. Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior
    Mario González, Andrés Almansa, Mauricio Delbracio, Pablo Musé, Pauline Tan · 2019 · HAL
  22. Automatic foreground extraction from imperfect backgrounds using multi-agent consensus equilibrium
    Xiran Wang, Jason Juang, Stanley H. Chan · 2020 · Journal of Visual Communication and Image Representation
  23. Gated Dehazing Network via Least Square Adversarial Learning
    Eunjae Ha, Joongchol Shin, Joonki Paik · 2020 · Sensors
  24. Edge-guided CNN for Denoising Images from Portable Ultrasound Devices
    Yingnan Ma, Fei Yang, Anup Basu · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  25. Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework
    Wei Ren Chen, David Wipf, Miguel R. D. Rodrigues · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
  26. Block-Attentive Subpixel Prediction Networks for Computationally Efficient Image Restoration
    Taeoh Kim, Chajin Shin, Sangjin Lee, Sangyoun Lee · 2021 · IEEE Access
  27. Single image HDR synthesis using a Densely Connected Dilated ConvNet
    K A Akhil, C. V. Jiji · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  28. Generic Image Restoration with Flow Based Priors
    Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  29. Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising
    Xiaowan Hu, Yuanhao Cai, Zhihong Liu · 2021
  30. Parallel Deep Neural Networks for Musical Genre Classification: A Case Study
    Hui Lin Yuan, Wenjia Zheng, Yun S. Song · 2021 · IEEE Annual Computers, Software, and Applications Conference (COMPSAC)
  31. Frequency separation-based multi-scale cascading residual block network for image super resolution
    Zhenbing Liu, Lu Yuan, Long Sun · 2022 · Multimedia Tools and Applications
  32. Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization
    Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin · 2022 · IEEE Winter Conference on Applications of Computer Vision
  33. Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement
    Jiaxin Gao, Xiaokun Liu, Risheng Liu, Xin Fan · 2022 · The Visual Computer
  34. Incorporating the Maximum Entropy on the Mean Framework with Kernel Error for Robust Non-Blind Image Deblurring
    Hok Shing Wong, Hao Zhang, Lihua Li · 2022 · Communications in Computational Physics
  35. Underwater Image Deblurring Framework Using A Generative Adversarial Network
    Tengyue Li, Shenghui Rong, Bo He · 2022 · OCEANS 2022 - Chennai
  36. Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction
    Qingchao Zhang, Xiaojing Ye, Yunmei Chen · 2022 · Journal of Imaging
  37. Single image super-resolution via a ternary attention network
    Lianping Yang, Jian Tang, Ben Niu · 2022 · Applied Intelligence
  38. REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration
    Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen · 2022 · Proceedings - International Conference on Image Processing
  39. MTFed-NILM: Multi-Task Federated Learning for Non-Intrusive Load Monitoring
    Xiyue Wang, Wei Li · 2022 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
  40. A generative adversarial network with “zero-shot” learning for positron image denoising
    Mingwei Zhu, Min Zhao, Min Yao · 2023 · Scientific Reports
  41. Deep-plug-and-play proximal Gauss-Newton method with applications to nonlinear, ill-posed inverse problems
    Francesco Colibazzi, Damiana Lazzaro, Serena Morigi · 2023 · Inverse Problems and Imaging
  42. Using CNN with Multi-Level Information Fusion for Image Denoising
    Shaodong Xie, Jiagang Song, Yuxuan Hu, Chengyuan Zhang, Shichao Zhang · 2023 · Electronics
  43. AMP-BCS: AMP-based image block compressed sensing with permutation of sparsified DCT coefficients
    Junhui Li, Xingsong Hou, Huake Wang, Shuhao Bi, Xueming Qian · 2024 · Journal of Visual Communication and Image Representation
  44. Low-Dose CT Image Super-resolution Network with Noise Inhibition Based on Feedback Feature Distillation Mechanism
    Jianning Chi, Xiaolin K. Wei, Zhiyi Sun, Yongming Yang, Bin Feng Yang · 2024 · Journal of Imaging Informatics in Medicine
  45. Dilated residual encode–decode networks for image denoising
    Shengyu Li, Xuesong Liu, Rongxin Jiang · 2018 · Journal of Electronic Imaging
  46. Blind Deblurring of Saturated Images Based on Optimization and Deep Learning for Dynamic Visual Inspection on the Assembly Line
    Bodi Wang, Guixiong Liu, Jun-Fang Wu · 2019 · Symmetry
  47. Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography
    Jing Lei, Q. B. Liu, X. Y. Wang · 2019 · Cognitive Computation
  48. Self-Recognition Grasping Operation with a Vision-Based Redundant Manipulator System
    Tong Li, Shuaikang Zheng, Xin Shu, Chunkai Wang, Chang Liu · 2019 · Applied Sciences
  49. Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems
    Xianjun Hu, Jing Wang, Chunlei Zhang · 2021 · Journal of Advanced Transportation
  50. Leveraging Multi scale Backbone with Multilevel supervision for Thermal Image Super Resolution
    Sabari Nathan, Priya Kansal · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  51. Concurrent Video Denoising and Deblurring for Dynamic Scenes
    Efklidis Katsaros, Piotr Kopa Ostrowski, Daniel Węsierski · 2021 · IEEE Access
  52. A Knowledge Optimization-Driven Network With Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-Sharpening
    Jiang He, Qiangqiang Yuan, Jie Li, Liangpei Zhang · 2022 · IEEE Transactions on Geoscience and Remote Sensing
  53. Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
    Franziska Schirrmacher, Christian Rieß, Thomas Köhler · 2019 · IEEE Transactions on Computational Imaging
  54. Low-Complexity Rate-Distortion Optimization of Sampling Rate and Bit-Depth for Compressed Sensing of Images
    Qunlin Chen, Derong Chen, Jiulu Gong · 2020 · Entropy
  55. A deep‐learning‐based approach for noise reduction in high‐speed optical coherence Doppler tomography
    Ang Li, Congwu Du, Nora D. Volkow · 2020 · Journal of Biophotonics
  56. Weak texture information map guided image super-resolution with deep residual networks
    Bo Fu, Liyan Wang, Yuechu Wu · 2021 · Multimedia Tools and Applications
  57. Single Image Layer Separation via Deep Admm Unrolling
    Risheng Liu, Zhiying Jiang, Xin Fan · 2018 · IEEE International Conference on Multimedia and Expo (ICME)
  58. ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
    Jian Zhang, Bernard Ghanem · 2017 · arXiv (Cornell University)
  59. Neural Blind Deconvolution Using Deep Priors
    Dongwei Ren, Kai Zhang, Qilong Wang · 2019 · arXiv (Cornell University)
  60. Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration
    Chen Zhang, Bangti Jin · 2019 · arXiv (Cornell University)
  61. Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
    Yunmei Chen, Hongcheng Liu, Xiaojing Ye · 2020 · arXiv (Cornell University)
  62. Variational Image Restoration Network
    Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang A, Deyu Meng · 2020 · arXiv (Cornell University)
  63. Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
    Xiaoyu Xiang, Yapeng Tian, Yulun Zhang · 2021 · arXiv (Cornell University)
  64. SNIPS: Solving Noisy Inverse Problems Stochastically
    Bahjat Kawar, Gregory Vaksman, Michael Elad · 2021 · arXiv (Cornell University)
  65. BAM: A Balanced Attention Mechanism for Single Image Super Resolution
    Fanyi Wang, Haotian Hu, Shen, Cheng · 2021 · arXiv (Cornell University)
  66. Image Denoising in the Deep Learning Era
    Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh · 2022 · Research Square
  67. WITHDRAWN: Image Denoising Using Multi Scaling Aided Double Decker Convolutional Neural Network
    Laya Tojo, Vivek Maik, Manju Devi · 2022 · Optik · Retracted
  68. Quaternion-based deep image prior with regularization by denoising for color image restoration
    Qinghua Zhang, Liangtian He, Shaobing Gao, Liang-Jian Deng, Jun Liu · 2025 · Signal Processing
  69. GAN Prior-Enhanced Novel View Synthesis From Monocular Degraded Images
    Kehua Guo, Zheng Wu, Xianhong Wen · 2025 · IEEE Transactions on Multimedia
  70. Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration
    Jianghe Cai, Gene Cheung, Fei Chen · 2025 · IEEE Transactions on Image Processing
  71. Low-rank structure guided diffusion for Shaanxi temple mural restoration
    Tong Lei, Yixuan Li, Zhengyun Cheng, Wenhui Zhou · 2025 · npj Heritage Science
  72. A Review of Optical Image Enhancement for Extreme Space Environments
    Chenyuan Zhao, Hongbo Wang, Qingsen Yan, Jingcheng Zhang, Yu Zhu, Jinqiu Sun, Yanning Zhang · 2025 · Advances in Astronautics
  73. AI-driven enhancement of historical documents
    Zahra Ziran, Massimo Mecella, Simone Marinai · 2025 · International Journal on Digital Libraries
  74. Learning Discriminative Shrinkage Deep Networks for Image Deconvolution
    Pin-Hung Kuo, Jinshan Pan, Shao‐Yi Chien, Ming–Hsuan Yang · 2022 · Lecture notes in computer science
  75. A bilevel optimization problem with deep learning based on fractional total variation for image denoising
    Anouar Ben-Loghfyry, Abdelilah Hakim · 2023 · Multimedia Tools and Applications
  76. A Weibull gradient prior for image restoration
    Tingting Li, Fang Li, Fang Li · 2023 · Journal of Computational and Applied Mathematics
  77. Plug‐and‐play algorithms for convex non‐convex regularization: Convergence analysis and applications
    Yating Xu, Mengyuan Qu, Lijie Liu, Gouqi Liu, Jian Xin Zou · 2023 · Mathematical Methods in the Applied Sciences
  78. Phase retrieval from single-shot square wave fringe based on image denoising using deep learning
    Xiao Zhang, Peng Cheng, Zhisheng You · 2024 · Applied Optics
  79. Efficient feature redundancy reduction for image denoising
    Yuxuan Hu, Chunwei Tian, Chengyuan Zhang, Sichao Zhang · 2024 · World Wide Web
  80. A Novel Teacher–Student Framework With Degradation Model for Infrared–Visible Image Fusion
    Weimin Xue, Yisha Liu, Fei Wang · 2024 · IEEE Transactions on Instrumentation and Measurement
  81. Privacy-Enhanced Image Restoration in Remote Sensing via Federated Learning
    M. Jahanzeb Khan, Suman Rath, Muhammad Hassan Zaib · 2024 · International Symposium on Digital Forensics and Security (ISDFS)
  82. Towards a Novel Generative Adversarial Network-Based Framework for Remote Sensing Image Demosaicking
    Yuxuan Guo, Xuemin Zhang, Guang Jin · 2024 · Remote Sensing
  83. LKSMN: Large Kernel Spatial Modulation Network for Lightweight Image Super-Resolution
    Yubo Zhang, Lei Xu, Haibin Xiang, Haihua Kong, Junhao Bi, Chao Han · 2024 · The Visual Computer
  84. Low-illumination and noisy bridge crack image restoration by deep CNN denoiser and normalized flow module
    Guangying Qiu, Dan Tao, Dequan You · 2024 · Scientific Reports
  85. Simultaneous image denoising and completion through convolutional sparse representation and nonlocal self-similarity
    Weimin Yuan, Yuanyuan Wang, Ruirui Fan · 2024 · Computer Vision and Image Understanding
  86. Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
    Yuzhi Zhao, Lai-Man Po, Xin Ye, Yongzhe Xu, Qiong Yan · 2024 · IEEE Transactions on Image Processing
  87. MDGINet: Multi-frequency Dynamic Guidance and Interaction network for image denoising
    Heng Li, Feng Shao, Hangwei Chen, Xiongli Chai, Qiuping Jiang · 2025 · Knowledge-Based Systems
  88. Deep Likelihood Network for Image Restoration With Multiple Degradation Levels
    Yiwen Guo, Ming Lu, Wangmeng Zuo, Changshui Zhang, Yurong Chen · 2021 · IEEE Transactions on Image Processing
  89. A fast denoising fusion network using internal and external priors
    Jingyu Luo, Shaoping Xu, Chongxi Li · 2021 · Signal Image and Video Processing
  90. Joint Generative Image Deblurring Aided by Edge Attention Prior and Dynamic Kernel Selection
    Zhichao Zhang, Hui Chen, Xiaoqing Yin, Jinsheng Deng · 2021 · Wireless Communications and Mobile Computing
  91. Denoising of brain magnetic resonance images using a MDB network
    Guokai Zhang, Chenxi Huang, Jingwen Jiang, Weizhe Xu, Jianqing Chen, Xiaowen Xu · 2022 · Multimedia Tools and Applications
  92. Pyramidal dense attention networks for single image super‐resolution
    Huapeng Wu, Jie Gui, Jun Zhang, James Tin-Yau Kwok, Zhihui Wei · 2022 · IET Image Processing
  93. Fringe pattern inpainting based on dual-exposure fused fringe guiding CNN denoiser prior
    Peng Guangze, Chen Wenjing · 2022 · Optica Applicata
  94. A Plug-and-Play Deep Denoiser Prior Model for Accelerated MRI Reconstruction
    Hasan H. Karaoğlu, Ender M. Ekşioğlu · 2022 · International Conference on Telecommunications and Signal Processing (TSP)
  95. Image restoration via wavelet-based low-rank tensor regularization
    Shujun Liu, Wanting Li, Jianxin Cao, Kui Zhang, Shengdong Hu · 2022 · Optik
  96. Image Enhancement of 3-D SAR via U-Net Framework
    Rong Shen, Shunjun Wei, Zichen Zhou · 2022 · IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
  97. Research Advanced in Image Denoising Based on Deep Learning
    Feiyang Huang, Yamin Jia, Yuxuan Yang · 2022 · IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)
  98. Edge Detection of Motion-Blurred Images Aided by Inertial Sensors
    Tian Luo, Kepeng Qiu, Yufeng Zhao · 2023 · Sensors
  99. Unsupervised neural network-based image restoration framework for pattern fidelity improvement and robust metrology
    Zijian Du, Lingling Pu, Paul Wei, Rui Yuan, Jeeeon Kim, Jiaoying Tan · 2023 · Journal of Micro/Nanopatterning Materials and Metrology
  100. FS-Net: Four-Stream Network With Spatial–Spectral Representation Learning for Hyperspectral and Multispecral Image Fusion
    Weizheng Jin, Mengyi Wang, W. Wang, Guangyi Yang · 2023 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing