Results 41 to 50 of about 2,423 (185)
A multi-task approach to face deblurring
EURASIP Journal on Wireless Communications and Networking, 2019 Image deblurring is a foundational problem with numerous application, and the face deblurring subject is one of the most interesting branches. We propose a convolutional neural network (CNN)-based architecture that embraces multi-scale deep features.
Ziyi Shen +4 more
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CoRR, 2022 With the improvement of social life quality and the real needs of daily work, images are more and more all around us. Image blurring due to camera shake, human movement, etc. has become the key to affecting image quality. How to remove image blur and restore clear image has gradually become an important research direction in the field of computer ...
openaire +3 more sources
WIG-Net: Wavelet-Based Defocus Deblurring with IFA and GCN
Applied Sciences, 2023 Although the existing deblurring methods for defocused images are capable of approximately recovering clear images, they still exhibit certain limitations, such as ringing artifacts and remaining blur.
Yi Li, Nan Wang, Jinlong Li, Yu Zhang
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A note on confidence intervals for deblurred images [PDF]
Opuscula Mathematica, 2020 We consider pointwise asymptotic confidence intervals for images that are blurred and observed in additive white noise. This amounts to solving a stochastic inverse problem with a convolution operator.
Michał Biel, Zbigniew Szkutnik
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Maximum a posteriori based unsupervised learning for images deblurring with cauchy noise
Applied Mathematics in Science and EngineeringIn image restoration with a known blur kernel, Gaussian noise is commonly assumed, and corresponding removal methods have been extensively studied.
Meina Zhang +3 more
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AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
Advanced Intelligent Systems, EarlyView.This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback
Advanced Intelligent Systems, EarlyView.A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu +2 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To develop an MRI approach for simultaneous skull and brain temperature monitoring between sonications in transcranial MR‐guided focused ultrasound (MRgFUS) surgeries. Methods A 3D stack‐of‐spirals dual‐echo ultra‐short TE (UTE) sequence incorporating fat suppression, spiral deblurring, trajectory measurement, and B1 correction was ...
Sheng Chen +4 more
wiley +1 more source
, 2016 Accepted to the 14th European Conference on Computer Vision (ECCV 2016).
Anita Sellent +2 more
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An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria
International Journal of Advanced Robotic Systems, 2018 Image deblurring is a challenging problem in image processing, which aims to reconstruct an original high-quality image from its blurred measurement caused by various factors, for example, imperfect focusing caused by the imaging system or different ...
Nannan Wang +3 more
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