Results 71 to 80 of about 12,142,372 (124)
Fixing a blurred photograph : image deblurring
, 2021 Image blur is an unwanted product and can be formed due to many reasons such as movement during image capture, low intensity during camera exposure, atmospheric problems etc.
Lian, Jia Jie
core
Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 596-610, August 2026.ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong +6 more
wiley +1 more source
Iterative regularization algorithms for constrained image deblurring on graphics processors
, 2010 Image deblurring, Scaled gradient projection method, Graphics processing units,
Riccardo Zanella +10 more
core +1 more source
Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 13-26, July 2026.ABSTRACT Purpose To simultaneously measure skeletal muscle energetics and blood flow (BF) before, during, and after dynamic plantar flexion exercise (PFE). Methods Non‐localized pulse‐acquire phosphorus‐31 magnetic resonance spectroscopy (31P MRS) and phase contrast flow magnetic resonance imaging (1H MRI) using golden‐angle rotated spiral readouts ...
T. Jake Samuel +6 more
wiley +1 more source
Application of the Moore-Penrose Inverse Matrix in Image Deblurring [PDF]
, 2013 This paper presents an image deblurring method that finds application in a broad scientific field such as image deblurring. A method for image deblurring, based on the pseudoinverse matrix is applied for removal of blur in an image caused by linear ...
Zlatev, Zoran +3 more
core +2 more sources
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
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
A Comprehensive Survey on Deep Neural Image Deblurring
, 2023 Image deblurring tries to eliminate degradation elements of an image causing blurriness and improve the quality of an image for better texture and object visualization.
Biyouki, Sajjad Amrollahi, Hwangbo, Hoon
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Fixing a blurred photograph: blind image deblurring
, 2023 This project presents a deep learning-based approach to blind image deblurring using a convolutional neural network. The trained model can produce a deblurred output using only the blurred image as input and exhibits improved image quality, as ...
Teo, Hong Wei
core
Image deblurring based on fractional-order total variation and diffusion models
四川大学学报. 自然科学版Image deblurring is a significant area of study in the field of digital image processing.In various practical applications，due to relative motion between imaging devices and objects，the resulting blurring will degrade the image quality and visual effect ...
HUANG Hao, PU Yi-Fei
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