Image Denoising

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Overview

Image denoising estimates the underlying scene from measurements corrupted by sensor noise, low light, or acquisition effects, supporting clearer images and reliable downstream analysis. Methods range from variational and diffusion-equation models and nonlocal patch filtering to CNNs, transformers, and generative diffusion models. Because clean targets are often scarce, many approaches use self-supervision, noise modeling, or physical knowledge of the imaging process, with tests spanning natural photographs, medical scans, and scientific images. A central challenge is suppressing noise without erasing fine detail or inventing structure, while maintaining robustness to real-world noise and practical limits on computation.

Latest papers

CardsList

157 papers14 papers in the last four weeks, up 17% on the four weeks before. 0.1% of all new papers.

  1. RHVI-FDD: A Hierarchical Decoupling Framework for Low-Light Image Enhancement

    Apr 7, 2026Junhao Yang, Bo Yang, Hongwei Ge +3Low-Light Image EnhancementImage Denoising

    Jilin University, Changchun, China · Dalian University of Technology, Dalian, China · National University of Singapore, Singapore

  2. Single-Stage Signal Attenuation Diffusion Model for Low-Light Image Enhancement and Denoising

    Apr 7, 2026Ying Liu, Junchao Zhang, Caiyun WuLow-Light Image EnhancementDiffusion Models for Image Restoration

    School of Aeronautics and Astronautics, Central South University, Changsha 410083, China · Hunan Provincial Key Laboratory of Optic-Electronic Intelligent Measurement and Control, Changsha 410083, China

  3. TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising

    Apr 6, 2026Junyoung Park, Youngjin Oh, Nam Ik ChoSelf-Supervised Image DenoisingImage Denoising

    Department of ECE, INMC, Seoul National University, South Korea · IPAI, Seoul National University, South Korea

  4. DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction

    Apr 2, 2026Can Deniz Bezek, Orcun GokselImage ReconstructionUltrasound Imaging

    Department of Information Technology, Uppsala University, Sweden

  5. Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising

    Apr 2, 2026Jigang Duan, Genwei Ma, Xu Jiang +3Image DenoisingFlow Matching

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · National Center for Applied Mathematics Beijing, Capital Normal University and Academy for multidisciplinary studies, Capital Normal University, Beijing, 100048, China · Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China

  6. Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks

    Mar 31, 2026Javier Bisbal, Julio Sotelo, Hernán Mella +8Magnetic Resonance ImagingCardiac MRI

    Biomedical Imaging Center, Pontificia Universidad Católica de Chile (PUC), Santiago, Chile · Department of Electrical Engineering, PUC, Santiago, Chile · Millennium Institute for Intelligent Healthcare Engineering, iHEALTH, Santiago, Chile +8

  7. Provably Contractive and High-Quality Denoisers for Convergent Restoration

    Mar 27, 2026Shubhi Shukla, Pravin NairImage RestorationImage Denoising

    Indian Institute of Technology Madras, India

  8. 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

  9. 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

  10. NEC-Diff: Noise-Robust Event-RAW Complementary Diffusion for Seeing Motion in Extreme Darkness

    Mar 20, 2026Haoyue Liu, Jinghan Xu, Luxin Feng +4Low-Light Image EnhancementImage Denoising

    National Key Lab of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation, Huazhong University of Science and Technology · School of Computing, National University of Singapore

  11. Statistical Characteristic-Guided Denoising for Rapid High-Resolution Transmission Electron Microscopy Imaging

    Mar 19, 2026Hesong Li, Ziqi Wu, Ruiwen Shao +1Scanning Transmission Electron MicroscopyImage Denoising

    Beijing Institute of Technology

  12. 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

  13. AURORA-KITTI: Any-Weather Depth Completion and Denoising

    Mar 16, 2026Yiting Wang, Tim Brödermann, Hamed Haghighi +4Depth CompletionMultimodal Robustness

    Warwick Manufacturing Group, University of Warwick, Coventry, CV4 7AL, United Kingdom · School of Engineering and Materials Science, Queen Mary University of London, London, E1 4NS, United Kingdom · Computer Vision Laboratory, ETH Zürich, Zurich, 8057, Switzerland +1

  14. A Physically-Grounded Attack and Adaptive Defense Framework for Real-World Low-Light Image Enhancement

    Mar 15, 2026Tongshun Zhang, Pingping Liu, Yuqing Lei +3Low-Light Image EnhancementPhysics-Guided Image Restoration

    College of Computer Science and Technology, Jilin University, Changchun 130015, P.R. China · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130015, P.R. China · College of Software, Jilin University, Changchun 130015, P.R. China +1

  15. Progressive Split Mamba: Effective State Space Modelling for Image Restoration

    Mar 10, 2026Mohammed Hassanin, Nour Moustafa, Weijian Deng +1Image RestorationVisual SSMs

  16. DECADE: A Temporally-Consistent Unsupervised Diffusion Model for Enhanced Rb-82 Dynamic Cardiac PET Image Denoising

    Mar 8, 2026Yinchi Zhou, Liang Guo, Huidong Xie +14Image DenoisingMedical Imaging

    Department of Biomedical Engineering, Yale University, New Haven, CT, USA · Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA · Department of Medicine (Cardiology), Yale School of Medicine, New Haven, CT, USA +2

  17. Architectural Unification for Polarimetric Imaging Across Multiple Degradations

    Mar 6, 2026Chu Zhou, Yufei Han, Junda Liao +6DemosaicingPolarimetric Imaging

    Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan. · Pattern Recognition and Intelligent System Laboratory, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China · State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing 100080, China, and also with the National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing 100080, China.

  18. Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning

    Mar 5, 2026Jaekyun Ko, Dongjin Kim, Soomin Lee +2Synthetic Data GenerationDiffusion-Based Image Generation

    Department of Computer Science, Hanyang University · Mobile Experience (MX) Division, Samsung Electronics · Department of Computer Science, Toronto Metropolitan University

  19. High-Resolution Image Reconstruction with Unsupervised Learning and Noisy Data Applied to Ion-Beam Dynamics for Particle Accelerators

    Mar 4, 2026Francis Osswald, Mohammed Chahbaoui, Xinyi LiangImage ReconstructionImage Inverse Problems

    IPHC · IPHC, CNRS Nuclei & Particules, Univ. of Strasbourg, 67000, Strasbourg, France · UNISTRA +3

  20. ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration

    Mar 3, 2026Leheng Zhang, Wei Long, Yawei Li +3Image RestorationEfficient ViTs

    School of Computer Science and Engineering (School of Cyber Security), University of Electronic Science and Technology of China (UESTC), China · Computer Vision Lab, ETH Zürich, Zürich, Switzerland and with the Integrated Systems Laboratory, ETH Zürich, Zürich, Switzerland

  21. 3D Field of Junctions: A Noise-Robust, Training-Free Structural Prior for Volumetric Inverse Problems

    Mar 2, 2026Narges Moeini, Namhoon Kim, Justin Romberg +1Image Inverse ProblemsImage Denoising

    Georgia Institute of Technology

  22. MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

    Mar 2, 2026Peiyuan Jing, Chun-Wun Cheng, Liutao Yang +7Image DenoisingDiffusion Models for Image Restoration

    School of Engineering, Zurich University of Applied Sciences, CH · Bioengineering Department and Imperial-X, Imperial College London, UK · DAMTP, University of Cambridge, UK +5

  23. Revisiting Global Token Mixing in Task-Dependent MRI Restoration: Insights from Minimal Gated CNN Baselines

    Mar 2, 2026Xiangjian Hou, Chao Qin, Chang Ni +3Accelerated MRI ReconstructionConvolutional Neural Networks

    Dept. of Radiology & Imaging Sciences, University of Utah, Salt Lake City, UT, USA · Dept. of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT, USA · Dept. of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE +2

  24. Teacher-Guided Causal Interventions for Image Denoising: Orthogonal Content-Noise Disentanglement in Vision Transformers

    Mar 1, 2026Kuai Jiang, Zhaoyan Ding, Guijuan Zhang +2Disentangled Representation LearningCausal Representation Learning

    China University of Mining and Technology · Shandong Normal University · Qilu University of Technology

  25. Optimisation of SOUP-GAN and CSR-GAN for High Resolution MR Images Reconstruction

    Feb 27, 2026Muneeba Rashid, Hina Shakir, Humaira Mehwish +2Generative Adversarial NetworksMagnetic Resonance Imaging

    Department of Software Engineering, Bahria University, Karachi, Pakistan · Department of Computer Science, Bahria University, Karachi, Pakistan

  26. IRSDE-Despeckle: A Physics-Grounded Diffusion Model for Generalizable Ultrasound Despeckling

    Feb 26, 2026Shuoqi Chen, Yujia Wu, Geoffrey P. LukeUltrasound ImagingImage Denoising

    Thayer School of Engineering, Dartmouth College, Hanover, NH, USA

  27. HARU-Net: Hybrid Attention Residual U-Net for Edge-Preserving Denoising in Cone-Beam Computed Tomography

    Feb 26, 2026Khuram Naveed, Ruben PauwelsImage DenoisingLDCT Denoising

    Department of Dentistry and Oral Health, Aarhus University, Aarhus, 8000, Denmark

  28. PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for Low-dose CT imaging

    Feb 25, 2026Jitindra Fartiyal, Pedro Freire, Sergei K. Turitsyn +1LDCT DenoisingImage Denoising

    Aston Institute of Photonic Technologies, Aston University, Aston Triangle, Birmingham, B4 7ET, West Midlands, United Kingdom

  29. IPv2: An Improved Image Purification Strategy for Real-World Ultra-Low-Dose Lung CT Denoising

    Feb 22, 2026Guoliang Gong, Man YuLDCT DenoisingImage Denoising

    Tianjin University of Science and Technology

  30. Unsupervised Denoising of Diffusion-Weighted Images with Bias and Variance Corrected Noise Modeling

    Feb 22, 2026Jine Xie, Zhicheng Zhang, Yunwei Chen +2Image DenoisingDiffusion MRI

    School of Biomedical Engineering, Southern Medical University, Guangzhou, China · Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China · JancsiLab, JancsiTech, Hong Kong, China +1