Results 81 to 90 of about 946,624 (201)

Blind Image Deblurring via Local Maximum Difference Prior

IEEE Access, 2020
Blind image deblurring is a well-known conundrum in the digital image processing field. To get a solid and pleasing deblurred result, reasonable statistical prior of the true image and the blur kernel is required.
Jing Liu, Jieqing Tan, Lei He, Xianyu Ge, Dandan Hu   +4 more
doaj   +1 more source

A two‐step image stabilisation method for promoting visual quality in vision‐enabled maritime surveillance systems

IET Intelligent Transport Systems, 2023
Maritime surveillance systems have been commonly exploited in vessel traffic services. The maritime visual information can be obtained through shore‐borne, ship‐borne or air‐borne cameras. However, the obtained visual data often suffers from blur effects
Yanhong Huang, Ryan Wen Liu, Jingxian Liu   +2 more
doaj   +1 more source

Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2702-2717, May 2026.
ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao, Fanhua Guo, Zidong Yang, Xingfeng Shao, Samantha J. Ma, Alexander J. S. Beckett, An T. Vu, David A. Feinberg, Danny J. J. Wang   +8 more
wiley   +1 more source

On Motion Blur and Deblurring in Visual Place Recognition [PDF]

Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR methods has been extensively studied under conditions such as changes in ...
Ferrarini, Bruno, Tan Viet Tuyen, Nguyen, Ramchurn, Sarvapali D., Milford, Michael, Ismagilov, Timur, Ramchurn, Sarvapali D, Ehsan, Shoaib   +6 more
core   +1 more source

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

Deep Generative Filter for Motion Deblurring

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017
Removing blur caused by camera shake in images has always been a challenging problem in computer vision literature due to its ill-posed nature. Motion blur caused due to the relative motion between the camera and the object in 3D space induces a spatially varying blurring effect over the entire image. In this paper, we propose a novel deep filter based
Sainandan Ramakrishnan, Shubham Pachori, Aalok Gangopadhyay, Shanmuganathan Raman   +3 more
openaire   +2 more sources

Adaptive blind image deblurring and denoising

Scandinavian Journal of Statistics, Volume 53, Issue 1, Page 413-441, March 2026.
Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang, Anik Roy, Partha Sarathi Mukherjee   +2 more
wiley   +1 more source

Image deblurring by multi-scale modified U-Net using dilated convolution

Science Progress
In modern urban traffic systems, intersection monitoring systems are used to monitor traffic flows and track vehicles by recognizing license plates. However, intersection monitors often produce motion-blurred images because of the rapid movement of cars.
Xiao-Pei Shi, Song-Yih Lin, Min-Lang Yang, Chung-Chi Huang, Jen-Chun Lee   +4 more
doaj   +1 more source

A method for deblurring motion blur in visible light images based on improved DeblurGAN [PDF]

Zhihui kongzhi yu fangzhen
This paper focuses on the task of motion deblurring in visible light images by improving and further lightening DeblurGAN, resulting in the model Faster-DeblurGAN.
WANG Bilin
doaj   +1 more source