Defocus and Motion Blur Detection with Deep Contextual Features

Author:

Kim Beomseok1,Son Hyeongseok1,Park Seong‐Jin1,Cho Sunghyun2,Lee Seungyong1

Affiliation:

1. POSTECH

2. DGIST

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning for Single Image Deblurring;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

2. Blind Image Super-resolution with Rich Texture-Aware Codebook;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Detection of local motion blurred/non-blurred regions in an image;Multimedia Tools and Applications;2023-10-23

4. Full-Scene Defocus Blur Detection With DeFBD+ via Multi-Level Distillation Learning;IEEE Transactions on Multimedia;2023

5. From Global to Local: Multi-Patch and Multi-Scale Contrastive Similarity Learning for Unsupervised Defocus Blur Detection;IEEE Transactions on Image Processing;2023

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