Results 71 to 80 of about 15,547 (189)
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
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
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
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
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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
The Open Reading Frame 7b of the SARS‐CoV‐2 Disperse Trans‐Golgi and Activate the NLRP3 Inflammasome
Journal of Medical Virology, Volume 98, Issue 4, April 2026.ABSTRACT Inflammasomes orchestrate the inflammatory response against bacterial and viral infections, thereby initiating the synthesis of pro‐inflammatory cytokines, mainly IL‐1β and IL‐18. SARS‐CoV‐2 infection induces an inflammatory response mediated by the activation of NLRP1 and NLRP3 inflammasomes.
Julio García‐Villalba +4 more
wiley +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
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
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 +2 more
wiley +1 more source