Image Denoising

Ask about this topic

Momentum

7 papers in the last four weeks, down 22% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 98

All topics
CardsList

  1. Can machine learning for quantum-gas experiments be explainable?

    May 18, 2026I. B. Spielman amd J. P. ZwolakInterpretable MLScientific ML

    National Institute of Standards and Technology, Gaithersburg, MD 20899, USA · Department of Physics, University of Maryland, College Park, MD 20742, USA · Joint Quantum Institute, University of Maryland, College Park, MD 20742, USA

  2. Aligning Network Equivariance with Data Symmetry: A Theoretical Framework and Adaptive Approach for Image Restoration

    May 13, 2026Feiyu Tan, Qi Xie, Zongben Xu +1Equivariant Neural NetworksImage Restoration

    School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China

  3. HADAR-Based Thermal Infrared Hyperspectral Image Restoration

    May 13, 2026Cheng Dai, Jiale Lin, Bingxuan Song +4Thermal ImagingPhysics-Guided Image Restoration

    School of Science, Westlake University, Hangzhou 310030, China

  4. Pyramid Self-Contrastive Learning for Single-shot Test-time Ultrasound Image Denoising

    May 12, 2026Jiajing Zhang, Bingze Dai, Xi Zhang +2Self-Supervised Image DenoisingTest-Time Adaptation

    Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong · Department of Biomedical Engineering, Duke University, North Carolina, United States

  5. A Mixture Autoregressive Image Generative Model on Quadtree Regions for Gaussian Noise Removal via Variational Bayes and Gradient Methods

    May 12, 2026Shota Saito, Yuta Nakahara, Kohei Horinouchi +3Image Denoising

    Gunma University · Waseda University · Energy Pool Japan

  6. FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising

    May 11, 2026Guoquan Wei, Liu Shi, Chong Chen +1Self-Supervised Image DenoisingSelf-Supervised Learning

    School of Information Engineering, Nanchang University, Nanchang 330031, China · SKLMS, ICMSEC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

  7. MicroDiffuse3D: A Foundation Model for 3D Microscopy Imaging Restoration

    May 8, 2026Yongkang Li, Brian Wong, King Wai Chiu +5Image RestorationMicroscopy Image Analysis

    Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA. · Department of Chemistry, University of Washington, Seattle, WA, USA

  8. Pre-training Enables Extraordinary All-optical Image Denoising

    May 8, 2026Xudong Lv, Yuxiang Sun, Shuo Wang +3Image Denoising

    Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System, Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic System, Harbin Institute of Technology, Shenzhen, 518055, Guangdong, China. · School of Electronics and Information Engineering, Zhejiang Provincial Key Laboratory of Intelligent Vehicle Electronics Research, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China. · School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen, 518172, Guangdong, China. +2

  9. Learning-based Statistical Refinement for Denoising

    May 5, 2026Rihuan KeImage Denoising

    School of Mathematics, University of Bristol, BS8 1QU Bristol, U.K.

  10. Normalization Equivariance for Arbitrary Backbones, with Application to Image Denoising

    May 5, 2026Youssef Saied, François FleuretImage Corruption RobustnessNeural Network Robustness

    Department of Computer Science, University of Geneva, Switzerland · Meta FAIR.

  11. Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs

    May 5, 2026Faraz Kayani, Sarmad Kayani, Asad Ahmed +2Efficient Neural Network InferenceKnowledge Distillation

    Computer Vision Lab, CAIDAS & IFI, University of Würzburg, Germany

  12. Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models

    May 4, 2026Srinivas Soumitri Miriyala, Sowmya Vajrala, Sravanth Kodavanti +2Image EnhancementEdge Inference

    Samsung Research Institute Bangalore, India

  13. Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT

    May 1, 2026Johannes B. Thalhammer, Lorenzo D'Amico, Lucy Costello +11Self-Supervised Image DenoisingComputed Tomography

    Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, TU Munich · Munich Institute of Biomedical Engineering, TU Munich · Institute for Diagnostic and Interventional Radiology, TUM Klinikum +3

  14. Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks

    May 1, 2026Zhilin Guan, Wei ZhangComputed TomographyLDCT Denoising

    Department of Computing Harbin Institute of Technology Harbin, China

  15. Contrastive Image-Metadata Pre-Training for Materials Transmission Electron Microscopy

    Apr 27, 2026Georgia Channing, Debora Keller, Marta D. Rossell +3Cross-Modal AlignmentMultimodal Contrastive Learning

    Hugging Face · University of Oxford · Empa Dübendorf +1

  16. A Coupled Fourth Order Telegraph Diffusion Framework Using Grayscale Indicators for Image Despeckling

    Apr 26, 2026Manish Kumar, Rajendra K. RayPDE SolvingImage Denoising

    School of Mathematical and Statistical Sciences, Indian Institute of Technology Mandi, Mandi (H.P), 175075, India

  17. Comparative Study of Weighted and Coupled Second- and Fourth-Order PDEs for Image Despeckling in Grayscale, Color, SAR, and Ultrasound

    Apr 26, 2026Manish Kumar, Rajendra K. RayImage Denoising

    School of Mathematical and Statistical Sciences, Indian Institute of Technology Mandi, Mandi (H.P), 175075, India

  18. Maximum Likelihood Reconstruction for Multi-Look Digital Holography with Markov-Modeled Speckle Correlation

    Apr 22, 2026Xi Chen, Arian Maleki, Shirin JalaliMarkov ModelsImage Reconstruction

    Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854 USA · Department of Statistics, Columbia University, New York, NY 10027 USA

  19. IR-Flow: Bridging Discriminative and Generative Image Restoration via Rectified Flow

    Apr 21, 2026Zihao Fan, Xin Lu, Jie Xiao +3Rectified FlowAll-in-One Image Restoration

    MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, School of Information Science and Technology, University of Science and Technology of China

  20. Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

    Apr 20, 2026Hongxu Jiang, Fei Li, Boxiao Yu +43D Medical ImagingMedical Image Super-Resolution

    Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA · Department of Medicine, University of Florida, Gainesville, FL, USA · Department of Biomedical Engineering, University of Florida, Gainesville, FL +2

  21. Score-Based Matching with Target Guidance for Cryo-EM Denoising

    Apr 20, 2026Xiaoqi Wu, Xueying Zhan, Wen Li +3Cryo-Electron MicroscopyScore-Based Generative Modeling

    Carnegie Mellon University · Towson University

  22. Low Light Image Enhancement Challenge at NTIRE 2026

    Apr 19, 2026George Ciubotariu, Sharif S M A, Abdur Rehman +90Low-Light Image EnhancementImage Denoising

  23. Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising

    Apr 19, 2026Marco Sánchez-Beeckman, Antoni BuadesImage EnhancementImage Denoising

    IAC3 & Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears · aDept. of Mathematics and Computer Science, Universitat de les Illes Balears, Cra. de Valldemossa km 7.5, Palma, 07122, Illes Balears, Spain · bInstitute of Applied Computing and Community Code (IAC3), Universitat de les Illes Balears, C/ Blaise Pascal 7, Parc BIT, Palma, 07121, Illes Balears, Spain

  24. Rethinking Cross-Dose PET Denoising: Mitigating Averaging Effects via Residual Noise Learning

    Apr 18, 2026Yichao Liu, Zongru Shao, Yueyang Teng +1Residual LearningPET/CT Imaging

    IWR, Heidelberg University, 69120, Heidelberg, Germany · Silicon Austria Labs, 4040, Linz, Austria · College of Medicine and Biological Information Engineering, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, 110169, Shenyang, China +1

  25. Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising

    Apr 18, 2026Ligen Shi, Zengyu Pang, Chang Liu +2Implicit Neural RepresentationsFrequency-Domain Image Processing

    College of Computer Science (College of Software), Inner Mongolia University, Hohhot, 010021, China · School of Mathematics and Statistics, Wuhan University, Wuhan, 430072, China · Institute of Computational Imaging, Beijing Information Science and Technology University, Beijing 102206, China

  26. AstroSURE: Learning to Remove Noise from Astronomical Images Without Ground Truth Data

    Apr 18, 2026Omid Vaheb, Sebastien Fabbro, Stark DraperSelf-Supervised Image DenoisingNoise Robustness

    Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, ON M5S 3G4, Canada · National Research Council Herzberg Astronomy an Astrophysics Research Centre, 5071 West Saanich Road, Victoria, BC V9E 2E7, Canada · Department of Computer Science, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

  27. RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference

    Apr 16, 2026Yuxin Liu, Yiqing Dong, Wenxue Yu +4Flow MatchingImage Denoising

    School of Computer Science and Engineering, Southeast University, China · Department of Optical Sciences, University of Arizona, USA · School of Instrument Science and Engineering, Southeast University, China +1

  28. Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising

    Mar 26, 2026Brayan Monroy, Jorge Bacca, Julián TachellaSelf-Supervised Image DenoisingSelf-Supervised Learning

    Universidad Industrial de Santander, Colombia · CNRS, ENS de Lyon, France

  29. Image-Domain Poisson-Perturbation Robustness of NCCT Slice Classification

    Mar 24, 2026Rhea Ghosal, Ronok Ghosal, Eileen LouMedical Image ClassificationNeuroimaging

    Westlake High School, Austin, TX, United States · California Institute of Technology, Pasadena, CA, United States · Round Rock High School, Round Rock, TX, United States

  30. V-Co: A Closer Look at Visual Representation Alignment via Co-Denoising

    Mar 17, 2026Han Lin, Xichen Pan, Zun Wang +4Diffusion Model AlignmentPixel-Space Diffusion Models

    1UNC Chapel Hill · 2NYU · 3Meta +1