mlsanityData to 14 Oct 2026

Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network

arXiv 2211.16356 ↗First posted 29 Nov 2022cs.CV eess.IVcited by 1

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Abstract (arXiv)

In this paper, we address the problem of blind deblurring with high efficiency. We propose a set of lightweight deep-wiener-network to finish the task with real-time speed. The Network contains a deep neural network for estimating parameters of wiener networks and a wiener network for deblurring. Experimental evaluations show that our approaches have an edge on State of the Art in terms of inference times and numbers of parameters. Two of our models can reach a speed of 100 images per second, which is qualified for real-time deblurring. Further research may focus on some real-world applications of deblurring with our models.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 16 of its 44 references that are in the map. First posted on arXiv 29 Nov 2022.

Builds on

16 of 44 references.

References · 16

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  3. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,845
  4. 2018MnasNet: Platform-Aware Neural Architecture Search for Mobilecited by 943
  5. 2021Multi-Stage Progressive Image Restorationcited by 816
  6. 2016Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurringcited by 727
  7. 2017DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networkscited by 367
  8. 2021Rethinking Coarse-to-Fine Approach in Single Image Deblurringcited by 326
  9. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 237
  10. 2020Deblurring by Realistic Blurringcited by 188
  11. 2015Learning a Convolutional Neural Network for Non-uniform Motion Blur Removalcited by 149
  12. 2019Neural Blind Deconvolution Using Deep Priorscited by 113
4 more
  1. 2019Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Trainingcited by 112
  2. 2016A Neural Approach to Blind Motion Deblurringcited by 69
  3. 2014Learning to Deblurcited by 66
  4. 2014Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstructioncited by 1

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024A Dictionary Based Approach for Removing Out-of-Focus Blurcited by 0