Results 51 to 60 of about 2,318 (187)

Recovering Blurred Images to Recognize Field Information

Proceedings, 2022
This paper introduces a new computational approach for fast deblurring non-blind imaging. The method implementation reveals how to solve image deblurring integrals with arbitrary kernels using the Theory of Hypernumbers. The method is applicable for real-
Arkadiy Dantsker
doaj   +1 more source

Reducing Motion Artifact in High Resolution 7 T MRI Using the Magnetic Resonance Minimal Motion (“MR‐MinMo”) Head Stabilization Device

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1486-1501, September 2026.
ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal, Simon Richardson, Yannick Brackenier, Matthew Gardner, Pierluigi Di Cio, Chiara Casella, Shaihan Malik, Jo Hajnal, Martina F. Callaghan, Fred Dick, David W. Carmichael   +10 more
wiley   +1 more source

VDTR: Video Deblurring With Transformer

IEEE Transactions on Circuits and Systems for Video Technology, 2023
Video deblurring is still an unsolved problem due to the challenging spatio-temporal modeling process. While existing convolutional neural network-based methods show a limited capacity for effective spatial and temporal modeling for video deblurring. This paper presents VDTR, an effective Transformer-based model that makes the first attempt to adapt ...
Mingdeng Cao, Yanbo Fan, Yong Zhang 0034, Jue Wang 0001, Yujiu Yang 0001   +4 more
openaire   +2 more sources

Zero-shot realistic image deblurring with consistency model

Complex & Intelligent Systems
At present, diffusion-based image deblurring methods rely on paired blurry-clear datasets for training, and the types of blur causes in image synthesis cannot yet be determined with sufficient precision to model real-world scene blur datasets ...
Zhaohan Wang, Chengjun Chen, Chenggang Dai   +2 more
doaj   +1 more source

Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm

Photonics, 2022
A refractive lens is one of the simplest, most cost-effective and easily available imaging elements. Given a spatially incoherent illumination, a refractive lens can faithfully map every object point to an image point in the sensor plane, when the object
P. A. Praveen, Francis Gracy Arockiaraj, Shivasubramanian Gopinath, Daniel Smith, Tauno Kahro, Sandhra-Mirella Valdma, Andrei Bleahu, Soon Hock Ng, Andra Naresh Kumar Reddy, Tomas Katkus, Aravind Simon John Francis Rajeswary, Rashid A. Ganeev, Siim Pikker, Kaupo Kukli, Aile Tamm, Saulius Juodkazis, Vijayakumar Anand   +16 more
doaj   +1 more source

3D MR Fingerprinting for Quantitative Bladder Wall T1, T2, and M0 Mapping in Healthy Subjects at 1.5 T and 3 T

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
Current diagnostic tests for lower urinary tract symptoms lack the ability to assess tissue‐level alterations in the bladder wall. This study introduces an approach for simultaneous high‐resolution 3D T1, T2, and proton density mapping of the bladder wall using magnetic resonance fingerprinting combined with a self‐supervised deep learning ...
Shane A. Wells, Giulia M. Ippolito, Melis Ozkan, Wilson Sui, Anne P. Cameron, Jesse I. Hamilton   +5 more
wiley   +1 more source

SAM-DEBLUR: Let Segment Anything Boost Image Deblurring

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts. However, the challenge of addressing non-uniform blurring leads to an ill-posed problem, which limits the generalization performance of existing deblurring models.
Siwei Li, Mingxuan Liu 0001, Yating Zhang, Shu Chen, Haoxiang Li, Hong Chen 0002, Zifei Dou   +6 more
openaire   +2 more sources

Blur-Robust Object Detection Using Feature-Level Deblurring via Self-Guided Knowledge Distillation

IEEE Access, 2022
Images captured from real-world environments often include blur artifacts resulting from camera movement, dynamic object motion, or out-of-focus.
Sung-Jin Cho, Seung-Wook Kim, Seung-Won Jung, Sung-Jea Ko   +3 more
doaj   +1 more source

Compact Snapshot Hyperspectral Imaging With Neural Dispersion‐Engineered Metalens

Nanophotonics, Volume 15, Issue 15, 13 August 2026.
A dispersion‐engineered metalens, designed via an end‐to‐end deep learning framework, encodes spectral information through wavelength‐dependent PSF shifts. Fabricated by two‐photon grayscale lithography, the ultrathin device demonstrates outstanding spatial‐spectral reconstruction in both indoor and outdoor scenes, positioning it as a promising ...
Peng Liu, Jiaru Chu, Yuhang Chen
wiley   +1 more source

A Generic Framework for Depth Reconstruction Enhancement

Journal of Imaging, 2022
We propose a generic depth-refinement scheme based on GeoNet, a recent deep-learning approach for predicting depth and normals from a single color image, and extend it to be applied to any depth reconstruction task such as super resolution, denoising and
Hendrik Sommerhoff, Andreas Kolb
doaj   +1 more source