mlsanityData to 7 Oct 2026

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

arXiv 1503.00593 ↗First posted 2 Mar 2015cs.CVcited by 148

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Abstract (arXiv)

In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabilistic distribution of motion blur at the patch level using a convolutional neural network (CNN). We further extend the candidate set of motion kernels predicted by the CNN using carefully designed image rotations. A Markov random field model is then used to infer a dense non-uniform motion blur field enforcing motion smoothness. Finally, motion blur is removed by a non-uniform deblurring model using patch-level image prior. Experimental evaluations show that our approach can effectively estimate and remove complex non-uniform motion blur that is not handled well by previous approaches.

Key facts. Cited by 148 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Mar 2015.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 35; 2022: 37; 2023: 21; 2024: 29; 2025: 18; 2026: 8.

148 papers.

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  1. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 324
  2. 2021Deblurring via Stochastic Refinementcited by 248
  3. 2021Low-Light Image and Video Enhancement Using Deep Learning: A Surveycited by 148
  4. 2022Stripformer: Strip Transformer for Fast Image Deblurringcited by 139
  5. 2023Low-Light Image Enhancement with Wavelet-based Diffusion Modelscited by 126
  6. 2022Parallel Diffusion Models of Operator and Image for Blind Inverse Problemscited by 113
  7. 2021Event-Based Fusion for Motion Deblurring with Cross-modal Attentioncited by 112
  8. 2022LEDNet: Joint Low-light Enhancement and Deblurring in the Darkcited by 95
  9. 2022Deep Image Deblurring: A Surveycited by 94
  10. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  11. 2021Intriguing Findings of Frequency Selection for Image Deblurringcited by 80
  12. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
38 more
  1. 2022DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priorscited by 70
  2. 2024Efficient Diffusion Model for Image Restoration by Residual Shiftingcited by 64
  3. 2021ARVo: Learning All-Range Volumetric Correspondence for Video Deblurringcited by 54
  4. 2021Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolutioncited by 52
  5. 2022Flow-Guided Sparse Transformer for Video Deblurringcited by 43
  6. 2023Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidancecited by 43
  7. 2023ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Imagescited by 38
  8. 2022Learning Degradation Representations for Image Deblurringcited by 35
  9. 2022BALF: Simple and Efficient Blur Aware Local Feature Detectorcited by 34
  10. 2022MSSNet: Multi-Scale-Stage Network for Single Image Deblurringcited by 31
  11. 2021MC-Blur: A Comprehensive Benchmark for Image Deblurringcited by 27
  12. 2021SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurringcited by 26
  13. 2021Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Networkcited by 25
  14. 2024Towards Real-world Event-guided Low-light Video Enhancement and Deblurringcited by 22
  15. 2022Spatio-Temporal Deformable Attention Network for Video Deblurringcited by 21
  16. 2022Real-World Deep Local Motion Deblurringcited by 20
  17. 2022ADIR: Adaptive Diffusion for Image Reconstructioncited by 20
  18. 2024Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurringcited by 20
  19. 2021Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolutioncited by 19
  20. 2024Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusioncited by 19
  21. 2022Multi-scale frequency separation network for image deblurringcited by 18
  22. 2022Face Deblurring using Dual Camera Fusion on Mobile Phonescited by 18
  23. 2023Optical Aberration Correction in Postprocessing using Imaging Simulationcited by 18
  24. 2021Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurringcited by 16
  25. 2022Efficient Video Deblurring Guided by Motion Magnitudecited by 16
  26. 2024BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Streamcited by 15
  27. 2022D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restorationcited by 14
  28. 2022Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Priorcited by 14
  29. 2023Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurringcited by 13
  30. 2023Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformerscited by 13
  31. 2022Learning Spatially Varying Pixel Exposures for Motion Deblurringcited by 12
  32. 2024DeblurGS: Gaussian Splatting for Camera Motion Blurcited by 12
  33. 2021Optical Flow Estimation from a Single Motion-blurred Imagecited by 11
  34. 2021Non-uniform Blur Kernel Estimation via Adaptive Basis Decompositioncited by 10
  35. 2022Event-based Image Deblurring with Dynamic Motion Awarenesscited by 10
  36. 2021EDPN: Enhanced Deep Pyramid Network for Blurry Image Restorationcited by 9
  37. 2022Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lenscited by 9
  38. 2023MoBluRF: Motion Deblurring Neural Radiance Fields for Blurry Monocular Videocited by 9

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