Results 71 to 80 of about 15,742 (208)
Thermal Image Reconstruction Using Deep Learning
IEEE Access, 2020 A high-resolution thermal camera is very expensive and is thus difficult to be used. Furthermore, thermal images become blurred in various cases of object motion, camera shaking, and camera defocusing. To solve these problems, a previous super-resolution
Ganbayar Batchuluun +4 more
doaj +1 more source
Unblurring ISAR Imaging for Maneuvering Target Based on UFGAN
Remote Sensing, 2022 Inverse synthetic aperture radar (ISAR) imaging for maneuvering targets suffers from a Doppler frequency time-varying problem, leading to the ISAR images blurred in the azimuth direction.
Wenzhe Li +3 more
doaj +1 more source
, 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 ...
A Chakrabarti +10 more
core +1 more source
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 +8 more
wiley +1 more source
Blind Image Deblurring Based on Local Edges Selection
Applied Sciences, 2019 The edges of images are less sparse when images become blurred. Selecting effective image edges is a vital step in image deblurring, which can help us to build image deblurring models more accurately.
Yue Han, Jiangming Kan
doaj +1 more source
Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition
Sensors, 2021 Matching infrared (IR) facial probes against a gallery of visible light faces remains a challenge, especially when combined with cross-distance due to deteriorated quality of the IR data. In this paper, we study the scenario where visible light faces are
Zhicheng Cao +3 more
doaj +1 more source
Convolutional Deblurring for Natural Imaging
, 2019 In this paper, we propose a novel design of image deblurring in the form of one-shot convolution filtering that can directly convolve with naturally blurred images for restoration.
Hosseini, Mahdi S. +1 more
core +1 more source
IEEE Transactions on Multimedia, 2022 Deep learning-based blind image deblurring plays an essential role in solving image blur since all existing kernels are limited in modeling the real world blur. Thus far, researchers focus on powerful models to handle the deblurring problem and achieve decent results.
Chih-Hung Liang +3 more
openaire +2 more sources
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 +7 more
wiley +1 more source
Deblurring of Sound Source Orientation Recognition Based on Deep Neural Network
Sensors, 2022 Underwater target detection and identification technology are currently two of the most important research directions in the information disciplines.
Tong Wang +6 more
doaj +1 more source