Image Denoising

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

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  1. Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising

    Jul 13, 2026Mohammad Mohammadi, Sina Honari, Stavros Tsogkas +6Image Denoising

    University of Toronto · 2Vector Institute · 3AI-Center Toronto, Samsung +1

  2. YeTI: You Only Need Two Noisy Images for Real-World sRGB Noise Generation

    Jul 10, 2026Jaekyun Ko, Byung Wan Lim, Soomin Lee +2Synthetic Data AugmentationImage Denoising

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

  3. GALOSH: Blind, Training-Free Denoising of Raw Bayer and sRGB Images by Parallel-Friendly Local Shrinkage

    Jul 4, 2026Yoshiro SatoNoise RobustnessImage Denoising

  4. Pooling-Based Context Modeling for Convolution-Free Deep Image Prior

    Jul 3, 2026Gihyun Kim, Jong-Seok LeeImage RestorationConvolutional Neural Networks

    Yonsei University Republic of Korea

  5. ProSAC-CT: Progressive Spectral-Anatomical Co-Guided Multi-Stage Diffusion Model for Low-Dose CT Denoising

    Jul 2, 2026Xuepeng Liu, Zetong Liu, Renyiming Li +5Diffusion Models for Image RestorationDiffusion Model Guidance

    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China · State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, China · AI Lab, Tohoku University Hospital, Sendai, Miyagi, Japan +1

  6. CPDDNet: Color-Polarization Denoising and Demosaicking Network

    Jul 1, 2026Qihang Zhang, Yusuke Monno, Masayuki Tanaka +1Image ReconstructionImage Restoration

    Institute of Science Tokyo

  7. AnF-DiffPET: Anatomy- and Frequency-Guided Diffusion for PET/CT Denoising

    Jul 1, 2026Xuepeng Liu, Ruili Li, Zetong Liu +5Diffusion Models for Image RestorationDiffusion Model Guidance

    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China · Tohoku University School of Medicine, Sendai 980-8575, Japan · Department of Clinical Neurosciences, University of Cambridge, UK

  8. High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling

    Jun 29, 2026David Ma, Jeremy Feinstein, Shreya Pandit +2Remote Sensing Image SegmentationFlood Inundation Mapping

    Argonne National Laboratory, Lemont, IL 60439 USA · Ohlone College, Fremont, CA 94539 USA

  9. DeVAR: Low-Dose CT Denoising via Visual Autoregressive Modeling

    Jun 26, 2026Xizhuo Zhang, Yannian Gu, Zhongzhen Huang +2Visual Autoregressive ModelsComputed Tomography

    Shanghai Jiao Tong University, China · SenseTime Research, China · Shanghai Innovation Institute, China

  10. A Zero-Shot Deep Image Prior Framework for Denoising and Deconvolution in Fluorescence Microscopy

    Jun 26, 2026Xiangyu Qian, Jing Liu, Yunqing Tang +2Physics-Guided Image RestorationImage Restoration

    Wenzhou Key Laboratory of Biomedical Imaging, Zhejiang Key Laboratory of Soft Matter Biomedical Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, China · Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China

  11. Denoising ICF Images with Multiplicative Uniform Noise: A Self-Supervised Study Based on the Log-Domain Noisier2Inverse Framework

    Jun 26, 2026Gyeongha Hwang, Bradley Thomas Wolfe, Naima NaheedSelf-Supervised Image DenoisingSelf-Supervised Learning

    Department of Mathematics, Yeungnam University, Gyeongsan, Republic of Korea. · Research Technologist, P-4: Thermonuclear Plasma Physics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. · Department of Computer Science and Engineering, Benedict College, Columbia, SC 29204, USA.

  12. Noise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction

    Jun 23, 2026Yuexi Gu, Mengqi Wu, Yongheng Sun +3Generative ModelingUltrasound Imaging

    Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Lampe Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

  13. VSANet: View-aware Sparse Attention Network for Light Field Image Denoising

    Jun 23, 2026Gargi Panda, Soumitra Kundu, Saumik Bhattacharya +1Sparse AttentionImage Denoising

    Department of EE, IIT Kharagpur, India · Rekhi Centre of Excellence for the Science of Happiness, IIT Kharagpur, India · Department of E&ECE, IIT Kharagpur, India

  14. NGPS: Structure-Preserving Self-Supervised Denoising via Neighbor-Guided Patch Sampling

    Jun 22, 2026Jaehyun Cho, YoungJoon YooSelf-Supervised Image Denoising3D Medical Imaging

    Department of Artificial Intelligence, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea · SNUAILAB, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea

  15. Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising

    Jun 22, 2026Xirou Zhou, Zijing Xu, Yibo Qu +3Image Denoising

    College of AI, Tsinghua University, Beijing, China · Department of Automation, Tsinghua University, Beijing, China · School of Electronic and Information Engineering, Beihang University, Beijing, China

  16. TIDY: Thermal Infrared Image Denoising via Wavelet Domain Entropy and Directional Stripe Index

    Jun 18, 2026Tai Hyoung Rhee, Dong-Guw Lee, Ayoung KimThermal ImagingNoise Robustness

    Dept. of Mechanical Engineering, SNU, Seoul, S. Korea

  17. Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow

    Jun 17, 2026Veit Hucke, Thomas Pinetz, Gregor Reiter +2Flow MatchingMedical Imaging

    Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Austria · Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Austria · Department of Ophthalmology and Optometry, Medical University of Vienna, Austria +1

  18. WaveDINO: Learning-Based Atmospheric Correction of Unwrapped InSAR Interferograms Validated by GNSS: Results at Laguna del Maule and Campi Flegrei Volcanoes

    Jun 15, 2026Robert Popescu, Juliet Biggs, Tianyuan Zhu +1Remote SensingWavelet Methods

    University of Bristol, Bristol, U.K.

  19. The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results

    Jun 14, 2026Lei Sun, Hang Guo, Bin Ren +6Image RestorationImage Denoising

    INSAIT, Sofia University, “St. Kliment Ohridski”

  20. UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors

    Jun 9, 2026Zhiwen Yang, Yang Zhou, Haowei Chen +4PET/CT ImagingImage Denoising

    School of Biological Science and Medical Engineering, State Key Laboratory of Software Development Environment, Key Laboratory of Biomechanics, Mechanobiology of Ministry of Education and Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100191, China · Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China · Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China +2

  21. U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training

    Jun 9, 2026Zhiwen Yang, Jiayin Li, Hao Lu +3OOD GeneralizationPET/CT Imaging

    School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China · Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China · School of Aerospace Engineering, Tsinghua University, Beijing 100084, China

  22. Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction

    Jun 7, 2026Yuhan Liu, Scott M. Leonard, Marlee Crews +5Diffusion Models for Image RestorationDiffusion Model Caching

    Department of Radiology, Northwestern University, Chicago, IL, USA

  23. An Attention-Based Denoising Model for Diffusion Weighted Imaging

    Jun 2, 2026Prithviraj Verma, Pawan Kumar, Chandan Deshani +1Magnetic Resonance ImagingDiffusion MRI

    Institute of Infrastructure Technology Research and Management (IITRAM), India · University of Sheffield, United Kingdom

  24. A Deep Learning Iterative Framework for Sentinel-1 Stripmap Enhancement Based on Azimuth Doppler Decomposition

    May 27, 2026Juan Francisco Amieva, Christian Ayala, Roberto Del Prete +1Image EnhancementSelf-Supervised Learning

    Tracasa Instrumental S.L. · European Space Agency · Public University of Navarre

  25. Gradient Step Plug-and-Play Model for Dental Cone-Beam CT Reconstruction

    May 27, 2026Idris Tatachak, Luis Kabongo, Nicolas Papadakis +2Cone-Beam CTImage Reconstruction

    CREATIS · INSA-Lyon, Universite Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69373, Lyon, France · MONC, IMB +2

  26. Leveraging pretrained RGB denoisers for hyperspectral image restoration

    May 23, 2026Daniele Picone, Mohamad Jouni, Mauro Dalla-MuraHyperspectral ImagingTransfer Learning

    Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, 38000, Grenoble, France

  27. Physics-Guided Self-Supervised Statistical Residual Learning for Sonar Despeckling with Improved Generalization

    May 23, 2026Swapna Pillai, Siddharth Singh Savner, Sujit Kumar SahooSelf-Supervised Image DenoisingSelf-Supervised Learning

    School of Electrical Sciences, Indian Institute of Technology Goa, Goa 403401, India · Inria, Sophia Antipolis, France

  28. Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions

    May 23, 2026Ghassen Marrakchi, Basarab MateiWavelet MethodsDense Prediction

    Northern Paris Computer Science Lab, Sorbonne Paris Nord University, Villetaneuse, France.

  29. PixIE: Prompted Pixel-Space Low-Light Image Enhancement

    May 22, 2026Ruirui Lin, Guoxi Huang, David Bull +1Low-Light Image EnhancementImage Denoising

    Visual Information Laboratory, University of Bristol, United Kingdom

  30. Oracle Supervision Transfers for Hyperparameter Prediction in Model-Based Image Denoising

    May 19, 2026Jianmin Liao, Lixin Shen, Yuesheng XuHyperparameter TransferTransfer Learning

    Department of Mathematics Syracuse University · Department of Mathematics & Statistics Old Dominion University