Results 111 to 120 of about 13,900 (206)

A New Framework of Designing Iterative Techniques for Image Deblurring. [PDF]

Pattern Recognit, 2022
Zhang M, Young GS, Tie Y, Gu X, Xu X.
europepmc   +1 more source

Frequency Disentanglement Distillation Image Deblurring Network. [PDF]

Sensors (Basel), 2021
Liu Y, Guo J, Yang S, Liu T, Zhou H, Liang M, Li X, Xu D.   +7 more
europepmc   +1 more source

Collaborative Blind Image Deblurring

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Blurry images usually exhibit similar blur at various locations across the image domain, a property barely captured in nowadays blind deblurring neural networks. We show that when extracting patches of similar underlying blur is possible, jointly processing the stack of patches yields superior accuracy than handling them separately.
Eboli, Thomas, Morel, Jean-Michel, Facciolo, Gabriele   +2 more
openaire   +2 more sources

Blind Remote Sensing Image Deblurring Based on Local Maximum High-Frequency Coefficient Prior and Graph Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In satellite remote sensing imaging, factors such as optical axis shift, image plane jitter, movement of the target object, and Earth's rotation can induce image blur.
Zhidan Cai, Ming Fang, Zhe Li, Jinyi Ming, Huimin Wang   +4 more
doaj   +1 more source

Stereoscopic video deblurring transformer

Scientific Reports
Stereoscopic cameras, such as those in mobile phones and various recent intelligent systems, are becoming increasingly common. Multiple variables can impact the stereo video quality, e.g., blur distortion due to camera/object movement.
Hassan Imani, Md Baharul Islam, Masum Shah Junayed, Md Atiqur Rahman Ahad   +3 more
doaj   +1 more source

Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]

Sensors (Basel)
Guo Y, Ma L, Zhang Y.
europepmc   +1 more source

A Fast Nonlinear Sparse Model for Blind Image Deblurring. [PDF]

J Imaging
Zhang Z, Guo Z, Xu Z, Chen H, Wang C, Song Y, Lai J, Ji Y, Li Z.   +8 more
europepmc   +1 more source

Deep Burst Image Deblurring

, 2020
In the past two decades, mobile phone imaging has grown significantly. The camera is one of the main features of a new mobile phone and a lot of research is been done in this field to improve image quality. The camera module installed in mobile phones is restricted by the thin structure of the phones which means that no thick lenses or large image ...
openaire   +1 more source

Adaptive Image Deblurring Convolutional Neural Network with Meta-Tuning. [PDF]

Sensors (Basel)
Ho QT, Duong MT, Lee S, Hong MC.
europepmc   +1 more source

A lightweight adaptive image deblurring framework using dynamic convolutional neural networks. [PDF]

Sci Rep
Zheng X, Li Y, Zhu Y, Zhao H, Huo P.
europepmc   +1 more source