Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training Pairs

For single image defocus deblurring, acquiring well-aligned training pairs (or training triplets), i.e. , a defocus blurry image, an all-in-focus sharp image (and a defocus blur map), is a challenging task for developing effective deblurring models. Existing image defocus deblurring methods typicall...

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Bibliographic Details
Published in:	International journal of computer vision Vol. 133; no. 10; pp. 6953 - 6970
Main Authors:	Ren, Dongwei, Shu, Xinya, Li, Yu, Wu, Xiaohe, Li, Jin, Zuo, Wangmeng
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.10.2025 Springer Nature B.V
Subjects:	Artificial Intelligence Blurring Cameras Computer Imaging Computer Science Datasets Deep learning Design Effectiveness Image acquisition Image Processing and Computer Vision Learning Misalignment Modules Neural networks Pattern Recognition Pattern Recognition and Graphics Source code Supervision Vision Isotropic blur kernels Reblurring model Image deblurring Defocus deblurring
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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