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. Low-rank MERA Decomposition of 3D OCT Image Volume for Compression, Denoising, Feature Extraction and Diagnosis of Retinal Diseases

    Oct 26, 2026Ivica Kopriva, Fei Shi, Marija Štanfel +4Optical Coherence TomographyMedical Image Representation Learning

    Ivica Kopriva is with Division of Computing and Data Science, Rudjer Boskovich Institute, Zagreb,Croatia · Fei Shi and Gaowei Li are with the School of Electronics and Information Engineering, Soochow University, Suzhou, China, and the Jiangsu Key Laboratory of Artificial Intelligence and Medical Imaging, Soochow University, Suzhou, China · Marija Štanfel is with Department of Ophthalmology, University Hospital Center Zagreb, Zagreb, Croatia +2

  2. Matching Particle-Arrival Rates for Low-Count Image Denoising

    Oct 23, 2026Huazhen Liu, Zipei Yan, Jizhou LiImage DenoisingSelf-Supervised Image Denoising

    Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.

  3. Self-Supervised Multibeam Sonar Restoration via Coherent Forward Modeling

    Oct 22, 2026Zixin Wang, James Hopgood, Mike DaviesImage RestorationPhysics-Guided Image Restoration

    School of Engineering, University of Edinburgh, Edinburgh EH9 3FG, U.K.

  4. HP-PnP-Flow: Hybrid Time Scheduling and Projection for Plug-and-Play Image Restoration via Flow Matching

    Oct 19, 2026Yong Li, Xiaojie Wang, Xiaoyan ZhangImage RestorationImage Denoising

    School of Mathematics and Statistics, HNP-LAMA, Central South University, Changsha 410083, Hunan, China

  5. Denoising Textures is a Different Ballgame Altogether!

    Oct 15, 2026Saptarshi Mandal, Oindrila Haldar, Chirayata Bhattacharya +4Image Denoising

    Department of Electrical Engineering, Indian Institute of Science, Bangalore, India · Department of Electrical and Computer Engineering, Northwestern University, Evanston, Illinois, USA · Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA

  6. Self-Calibrated Subspace Robust PCA for Parameter-Free Removal of Mixed Noise and Line Stripes in Hyperspectral Images

    Oct 15, 2026Wenzhe WangImage DenoisingHyperspectral Imaging

    Qingdao Preschool Education College, Qingdao 266318, China

  7. Denoise X: Self-Supervised U-Net for Quantum Mottle Suppression in Chest Radiography

    Oct 13, 2026Parth Giramkar, Aryan Patle, Vanita KshirsagarImage DenoisingSelf-Supervised Image Denoising

    Department of Artificial Intelligence and Data Science, Dr. D. Y. Patil Institute of Technology, Pune, Maharashtra 411018, India

  8. S3\mathrm{S}^3-PnP: Plug-and-Play Denoising for Scientific Imaging with Self-Supervised Score Priors

    Oct 13, 2026Yukun Cui, Jiangshe Zhang, Shuang Xu +6Image RestorationImage Denoising

    Xi’an Jiaotong University · Northwestern Polytechnical University · Nanyang Technological University +3

  9. ContiLNN: Mitigating Slice Sampling Discontinuity with Liquid Neural Networks for Medical Image Restoration

    Oct 8, 2026Jialei He, Enhe Liu, Sifan Song +10Image RestorationMedical Image Analysis

    Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, 650504, China · Academy of Artificial Intelligence and Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215123, China · Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, 02115, United States +1

  10. Hybrid++: The Bridge between PDE Models and Deep Learning for Gamma Noise Removal

    Oct 6, 2026Mahipal Jetta, Sujato DuttaSynthetic Aperture RadarImage Denoising

    Mahindra University

  11. A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

    Oct 5, 2026Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski +1Computed TomographyImage Denoising

    Sano Centre for Computational Medicine, Czarnowiejska 36/C5, Kraków, 30-054, Poland · Department of Biocybernetics and Biomedical Engineering, AGH University of Krakow, 30-059 Krakow, Poland · Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Łojasiewicza 11, Kraków, 30-348, Poland +1

  12. Decomposition-Guided Curvelet Thresholding for Sharp-to-Soft CT Kernel Conversion

    Oct 5, 2026Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski +1Computed TomographyImage Denoising

    Department of Biocybernetics and Biomedical Engineering, AGH University of Krakow, 30-059 Krakow, Poland. · Sano Centre for Computational Medicine, Czarnowiejska 36/C5, Kraków, 30-054, Poland. · Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Łojasiewicza 11, Kraków, 30-348, Poland. +1

  13. Gauss-Map Variation for Image Denoising: Geometric Analysis and an Anderson--Accelerated Majorization--Minimization Method

    Oct 5, 2026Haibin SuImage Denoising

    Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China

  14. A Digital Simulation Toolkit for Physics-Based Generation of Realistic Experimental Scanning Tunneling Microscopy Images

    Sep 29, 2026Huanhuan Zhao, Laxmi Bhurtel, Connor Vernachio +3Synthetic Data AugmentationImage Denoising

    Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, USA, 37996 · Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA · Center for Advanced Materials and Manufacturing, University of Tennessee, 2641 Osprey Vista Way, Knoxville, Tennessee 37920, USA +2

  15. BMND: Direct Poisson Denoising by N-Dimensional Block Matching and Collaborative Filtering

    Sep 28, 2026Christof Duhme, Lars Schiefelbein, Florian Büther +1Fluorescence MicroscopyImage Denoising

    University of Münster

  16. In-Token Learning for High-Fidelity Image Restoration via Diffusion Transformers

    Sep 27, 2026Xingfu Yi, Xiaoxue YuImage-to-Image TranslationDiffusion Transformer

    Independent Researcher, Hangzhou, China · Zhejiang University, Hangzhou, China

  17. Residual Diffusion Implicit Models

    Sep 26, 2026João Guerreiro, Pedro Tomás, Helena Aidos +1Diffusion Models for Image RestorationDiffusion-Based Inverse Problems

    INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal · ISR-Lisboa, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal · LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal

  18. Mask2Restore: Self-Supervised Ultrasound Despeckling via Inpainting

    Sep 26, 2026Xuesong Li, Yingtai Xu, Zhongliang Jiang +2Image RestorationImage Denoising

    Computer Aided Medical Procedures (CAMP), Technical University of Munich, Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China

  19. A Study of the Limits of Collaborative DCT-Based Image Denoising via Interpretable Neural Networks

    Sep 24, 2026Cristian Comellas, Julia Navarro, Antoni BuadesImage Denoising

    Department of Mathematics and Computer Science, Universitat de les Illes Balears, Cra. de Valldemossa, km 7.5, Palma, 07122, Balearic Islands, Spain.

  20. Deep Learning Denoising of Real SWOT Sea Surface Height Observations

    Sep 22, 2026Gaétan Meis, Anaëlle Tréboutte, Maxime Ballarotta +2Image DenoisingConvolutional Neural Networks

    Collecte Localisation Satellites (CLS), Ramonville-Saint-Agne, France · Centre National d’Études Spatiales (CNES), Toulouse, France

  21. Ultra-fast Neural Inference for Stochastic Gaussian Splatting Denoising

    Sep 22, 2026Chenxiao Hu, Hao Zhang, Yanchen Zhang +3Image DenoisingGaussian Splatting

    School of Computer Science, Peking University

  22. Noise2Noise Revisited: Training Pair Distributions Dominate Loss Choice in Self-Supervised Denoising

    Sep 15, 2026Dingyan Shang, Zhenyu Xu, Youting Wang +2Self-Supervised Image DenoisingDenoising Autoencoders

    Independent Researcher · Frisco, USA · Fulshear, USA +3

  23. Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling Strategy

    Sep 15, 2026Jiale Shen, Guolin Wang, Chenhao Wang +3Rectified Flow3D Medical Imaging

    College of Biomedical Engineering & Instrument Science, Zhejiang University, Zhejiang, 310063, China

  24. AXS-Net: Interpretable Deep Unfolding for Hyperspectral Image Denoising via Spectral Basis Unmixing and Structured Noise Refinement

    Sep 8, 2026Ziyi Guan, Jianping Zhang, Zheng YangSpectral UnmixingHyperspectral Imaging

    Xiangtan University, Xiangtan, Hunan, China

  25. Poisson Image Denoising Using Minimax Concave and Reweighted ℓ1\ell_1 Penalties: Nonblind and Blind Approaches

    Sep 7, 2026Reza ParvazImage DeblurringNonconvex Optimization

    aDepartment of Engineering Sciences, Faculty of Advanced Technologies,Sep University of Mohaghegh Ardabili, Ardabil, Iran

  26. Discriminative Flow Matching: Beyond Time-Conditioning in Generative Restoration via Flow-State Representations

    Sep 3, 2026Shrishti Saha Shetu, Emanuël A. P. Habets, Andreas BrendelFlow MatchingConditional Generative Modeling

    International Audio Laboratories Erlangen∗ Am Wolfsmantel 33, 91058 Erlangen, Germany · Fraunhofer IIS, Am Wolfsmantel 33, 91058 Erlangen, Germany

  27. Benchmarking RAW and RGB Restoration in Image Signal Processors

    Sep 2, 2026Zihao Lu, Radu Timofte, Marcos V. CondeImage RestorationImage Denoising

    Computer Vision Laboratory CAIDAS and IFI University of Würzburg Würzburg, Germany

  28. Null-Space Diffusion Restoration with Adaptive Uncertainty-Guided Fusion for Ultrasound Speckle Reduction

    Aug 30, 2026Juneyong Lee, Jaeyoung ChoiDiffusion Models for Image RestorationUltrasound Imaging

    Department of Computer Science and Engineering, Hankuk University of Foreign Studies, Yongin-si 17035, Republic of Korea

  29. Using Channel Representations in Regularization Terms: A Case Study on Image Diffusion

    Aug 29, 2026Christian Heinemann, Freddie Åström, George Baravdish +3Image DenoisingImage Reconstruction

    IBG-2: Plant Sciences, Forschungszentrum Jülich, 52425 Jülich, Germany · Department of Electrical Engineering, Linköping University, SE-581 83 Linköping, Sweden · Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden

  30. A Tensor Variational Formulation of Gradient Energy Total Variation

    Aug 29, 2026Freddie Åström, George Baravdish, Michael FelsbergTV RegularizationImage Denoising

    Computer Vision Laboratory, Linköping University, Sweden · Center for Medical Image Science and Visualization (CMIV), Linköping University · Department of Science and Technology, Linköping University, Sweden