Results 101 to 110 of about 12,142,372 (124)
Recent Progress in Image Deblurring
This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Ruxin Wang, Dacheng Tao
core
Blurring and noise degrade the performance of image processing. To mitigate this effect, various regularization-based deblurring methods have been proposed.
Wang, Y +5 more
core +1 more source
Recovering a sharp version of an input blurred image is challenging in computational photography and digital image processing. Recent progresses have been made in algorithms to address the ill-posedness of the problem.
Yuan, Lu
core
Theory and computation of variational image deblurring
To recover a sharp image from its blurry observation is the problem known as image deblurring. It frequently arises in imaging sciences and technologies, including optical, medical, and astronomical applications, and is crucial for allowing to detect ...
Chan, Tony F., Shen, Jianhong
core
Deep Image Deblurring: A Survey [PDF]
Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image. Advances in deep learning have led to significant progress in solving this problem, and a large number of deblurring ...
Wenqi Ren, Wei-Sheng Lai, Kaihao Zhang
exaly +3 more sources
Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary Task
Different from the object motion blur, the defocus blur is caused by the limitation of the cameras' depth of field. The defocus amount can be characterized by the parameter of point spread function and thus forms a defocus map.
Shaojun Liu, Haoyu Ma, Jing-Hao Xue
exaly +2 more sources
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Surface-Aware Blind Image Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Tieyong Zeng, Ming Yan, Jun Liu
exaly
Deep Idempotent Network for Efficient Single Image Blind Deblurring
IEEE Transactions on Circuits and Systems for Video Technology, 2023Xin Yu, Yuchao Dai, Zhexiong Wan
exaly
L₀ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017Zhixun Su, Jinshan Pan, Ming-Hsuan Yang
exaly

