Blind Image Restoration with Defocus Blur by Estimating Point Spread Function in Frequency Domain

Author:

Qin Fengqing1,Li Chaorong1,Cao Lilan1,Zhu Lihong1,Zou Xuyan1,Li Xiaomei1,Zhang Tianqi1,Xue Yilan1

Affiliation:

1. Faculty of Artificial Intelligence and Big Data, Yibin University, China

Publisher

ACM

Reference15 articles.

1. M.Y. Zou . 2004. Deconvolution and Signal Recovery . Defense Industry Publishing . M.Y. Zou. 2004. Deconvolution and Signal Recovery.Defense Industry Publishing.

2. X.Y. Wang . 2017. Research on Image Denoising and Restoration Method . China Industry and Information Technology Publishing Group . X.Y. Wang. 2017. Research on Image Denoising and Restoration Method.China Industry and Information Technology Publishing Group.

3. Image Restoration: From Sparse and Low-Rank Priors to Deep Priors [Lecture Notes]

4. K. Alpaslan and G.Albert. 2019. Design and evaluation of an accurate CNR-guided small region iterative restoration-based tumor segmentation scheme for PET using both simulated and real heterogeneous tumors. Medical & Biological Engineering & Computing. K. Alpaslan and G.Albert. 2019. Design and evaluation of an accurate CNR-guided small region iterative restoration-based tumor segmentation scheme for PET using both simulated and real heterogeneous tumors. Medical & Biological Engineering & Computing.

5. Image Restoration by Estimating Frequency Distribution of Local Patches

Cited by 2 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. FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. UHD Underwater Image Enhancement via Frequency-Spatial Domain Aware Network;Computer Vision – ACCV 2022;2023

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