Results 81 to 90 of about 2,318 (187)

DEEP‐DISORDER: Motion Correction in 3D MRI via Segment Reconstruction and Registration

NMR in Biomedicine, Volume 39, Issue 5, May 2026.
This work presents a retrospective motion correction framework for 3D MRI. A motion‐corrupted acquisition is split into tiny k‐space segments, and for each a neural network reconstructs a rough anatomical image. These reconstructions are aligned using groupwise registration, yielding one set of estimated motion parameters per segment.
Laurens Beljaards, Martijn Nagtegaal, Chinmay Rao, Yiming Dong, Matthias J. P. van Osch, Nicola Pezzotti, Mariya Doneva, Marius Staring   +7 more
wiley   +1 more source

Fibre phantom generation using FibreSimulator: an open‐source Python tool

Journal of Synchrotron Radiation, Volume 33, Issue 3, Page 870-883, May 2026.
FibreSimulator is an open‐source tool for generating realistic 3D phantoms of unidirectional fibre‐reinforced polymers, enabling customizable fibre structures and simulating computed tomography scanning for algorithm development and validation.Fibre‐reinforced polymer composites are utilized across many industries for their stiffness and strength ...
Mary Chris Roperos Go, Daniël M. Pelt, Anirudh Kohli, Philip J. Withers, K. Joost Batenburg   +4 more
wiley   +1 more source

Motion Deblurring in the Wild

, 2017
The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown. Moreover, when pictures are taken in the wild, this task becomes even more challenging due to the blur varying spatially and the occlusions between the object.
Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro   +2 more
openaire   +2 more sources

Deep Face Deblurring

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
Blind deblurring consists a long studied task, however the outcomes of generic methods are not effective in real world blurred images. Domain-specific methods for deblurring targeted object categories, e.g. text or faces, frequently outperform their generic counterparts, hence they are attracting an increasing amount of attention.
Grigorios G. Chrysos, Stefanos Zafeiriou
openaire   +3 more sources

SID: Sensor-Assisted Image Deblurring System for Mobile Devices

IEEE Access, 2019
Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera's stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the user experience, and ...
Qing Wang, Jun Tan, Tianzhang Xing, Feng Chen, Jinping Niu   +4 more
doaj   +1 more source

Blind image deblurring method based on l₁/l₂-norm regularization

Journal of Measurement Science and Instrumentation, 2023
Aiming at the problem of ringing artifacts existing in the edge of image in traditional blind image deblurring methods, l1/l2 regularization-based blind image deblurring method is proposed. The latent image is constrained by l1/l2 regularization, and the
CAO Shengfang, HU Hongping, WANG Wenke
doaj  

An Edge-Enhanced Branch for Multi-Frame Motion Deblurring

IEEE Access
Non-uniform deblurring is one of the most important image restoration tasks for providing appropriate information for subsequent applications that require image recognition.
Sota Moriyama, Koichi Ichige
doaj   +1 more source

Deblurring Network for UV Images of Colorless Chemicals Floating on Sea Surface

Journal of Marine Science and Engineering
Automatic imaging monitoring technology has been developed as a mature solution to address oil spill accidents. However, when airborne equipment is used to monitor the area of leakage, there is a chance of relative motion between the equipment and the ...
Hui Huang, Yu Zhang, Chuansong Lin, Fuliang Lin, Yue Fang, Hong Song   +5 more
doaj   +1 more source

Single Image Defocus Deblurring Based on Structural Information Enhancement

IEEE Access
Defocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus ...
Guangming Feng, Longfei Han, Yiwen Jia, Peiliang Huang   +3 more
doaj   +1 more source

Computational single fundus image restoration techniques: a review

Frontiers in Ophthalmology
Fundus cameras are widely used by ophthalmologists for monitoring and diagnosing retinal pathologies. Unfortunately, no optical system is perfect, and the visibility of retinal images can be greatly degraded due to the presence of problematic ...
Shuhe Zhang, Carroll A. B. Webers, Tos T. J. M. Berendschot   +2 more
doaj   +1 more source