Results 81 to 90 of about 16,544 (207)
A retraced spiral strategy with semi‐automatic deblurring for volumetric thermometry
Magnetic Resonance in Medicine, Volume 94, Issue 4, Page 1432-1444, October 2025.Abstract Purpose To develop a 3D MRI‐thermometry technique for transcranial MR‐guided focused ultrasound (MRgFUS). Methods A stack of retraced in‐out (RIO) spirals was incorporated into a 3D, RF‐spoiled, gradient recalled echo (GRE) sequence with a minimized energy deblurring strategy. Bloch simulations examined isochromat precession during RIO readout
Steven P. Allen +4 more
wiley +1 more source
Blind and Non-Blind Deconvolution-Based Image Deblurring Techniques for Blurred and Noisy Image
Tikrit Journal of Engineering Sciences: Image deblurring is a common issue in low-level computer vision aiming to restore a clear image from a blurred input image. Deep learning innovations have significantly advanced the solution to this issue, and numerous deblurring networks have been ...
Shayma Wail Nourildean
doaj +1 more source
Learning to Extract a Video Sequence from a Single Motion-Blurred Image
, 2018 We present a method to extract a video sequence from a single motion-blurred image. Motion-blurred images are the result of an averaging process, where instant frames are accumulated over time during the exposure of the sensor.
Favaro, Paolo +2 more
core +1 more source
Numerical Linear Algebra with Applications, Volume 32, Issue 5, October 2025.ABSTRACT In this study, we present an accelerated spectral conjugate gradient‐type projection method to solve the system of nonlinear monotone equations. Compared to traditional methods for solving such equations, this method utilizes three‐step successive information to produce inertial iterates.
Pengjie Liu +3 more
wiley +1 more source
Hyper-Laplacian Regularized Non-Local Low-Rank Prior for Blind Image Deblurring
IEEE Access, 2020 Blind deblurring of single image is a challenging image restoration problem. Recent various image priors have been successfully explored to solve this ill-posed problem. In this paper, based on the non-local self-similarity, we propose a novel method for
Xiaole Chen +5 more
doaj +1 more source
, 2018 Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recognition. In principle, techniques like deblurring and super-resolution should
Banerjee, Sreya +4 more
core +1 more source
Single Image Defocus Deblurring Based on Structural Information Enhancement
IEEE AccessDefocus 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 +3 more
doaj +1 more source
Distributed Deblurring of Large Images of Wide Field-Of-View
, 2017 Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applications, e.g., astronomy, microscopy or computational photography.
Bianchi, Pascal +4 more
core
Blind UAV Images Deblurring Based on Discriminative Networks
Sensors, 2018 Unmanned aerial vehicles (UAVs) have become an important technology for acquiring high-resolution remote sensing images. Because most space optical imaging systems of UAVs work in environments affected by vibrations, the optical axis motion and image ...
Ruihua Wang +4 more
doaj +1 more source
A Image Deblurring Approach Using U-Shaped Invertible Network Driven by Sparse Latent Variables
, 2021 Meng Wang, Tao Wen, Haipeng Liu
openalex +1 more source