Results 91 to 100 of about 9,140,641 (221)
Fibre phantom generation using FibreSimulator: an open‐source Python tool
Journal of Synchrotron Radiation, Volume 33, Issue 3, Page 870-883, May 2026.FibreSimulator is an open‐source tool for generating realistic 3D phantoms of unidirectional fibre‐reinforced polymers, enabling customizable fibre structures and simulating computed tomography scanning for algorithm development and validation.Fibre‐reinforced polymer composites are utilized across many industries for their stiffness and strength ...
Mary Chris Roperos Go +4 more
wiley +1 more source
Cascaded image deblurring with combined image prior
, 2017 In this paper, we propose a cascaded image deblurring scheme that adopts combined image prior followed by multi-scale separable kernel refinement. Specifically, we introduce a combined image prior made up of Aggressive Patch Recurrence (APR) prior and ...
Xiaoyun Yuan +9 more
core +1 more source
Learning to Deblur Polarized Images
International Journal of Computer VisionA polarization camera can capture four linear polarized images with different polarizer angles in a single shot, which is useful in polarization-based vision applications since the degree of linear polarization (DoLP) and the angle of linear polarization (AoLP) can be directly computed from the captured polarized images.
Chu Zhou +5 more
openaire +3 more sources
, 2013 This project was carried out in order to improve our understanding of the mechanisms behind image deblurring. In order to gain a more thorough understanding of the basic processes that are employed in image deblurring, a number of references and ...
Jaffe, Samuel Joseph
core
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
Blind Image Deblurring: a Review
CoRR, 2022 This is a review on blind image deblurring. First, we formulate the blind image deblurring problem and explain why it is challenging. Next, we bring some psychological and cognitive studies on the way our human vision system deblurs. Then, relying on several previous reviews, we discuss the topic of metrics and datasets, which is non-trivial to blind ...
openaire +3 more sources
Dynamic Image Deblurring based on Crosshatch Attention Adversarial Network and Hybrid Loss
Image deblurring techniques that uses deep learning have shown great potential but due to low generalizability, noise immunity and the correlation among different pixels is not addressed in detail that results in unwanted artifact that appears in the ...
Shaukat, A, Azam, B, Aslam, U
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
Techniques in image restoration and enhancement [PDF]
, 1975 Includes bibliographical references.Image processing in its broad sense pervades many areas but it is convenient to group it into three main sections, viz: image coding, usually for image transmission over telecommunication links; pattern recognition for
Hepburn, John Stuart Andrew
core +1 more source
An effective document image deblurring algorithm
, 2011 Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images.
Wu, Q +7 more
core +1 more source