Automatic Detection of Simulated Motion Blur in Mammograms.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14069
Abstract: PURPOSE To use machine-learning algorithms and blur measure (BM) operators to automatically detect motion blur in mammograms. Motion blur has been reported to reduce lesion detection performance and mask small abnormalities, resulting in failure to… read more here.
Keywords: motion; motion blur; automatic detection; blur mammograms ... See more keywords
Motion blur invariant for estimating motion parameters of medical ultrasound images
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-93636-4
Abstract: High-quality medical ultrasound imaging is definitely concerning motion blur, while medical image analysis requires motionless and accurate data acquired by sonographers. The main idea of this paper is to establish some motion blur invariant in… read more here.
Keywords: motion; blur invariant; motion blur; ultrasound images ... See more keywords
Fire Sprite Animation Using Fire-Flake Texture and Artificial Motion Blur
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2934163
Abstract: In this paper, we propose a sprite animation synthesis technique that can efficiently represent the fire-flake effects seen in the natural phenomenon of fire. The proposed method uses the actual fire video or animated fire… read more here.
Keywords: sprite animation; motion blur; fire; artificial motion ... See more keywords
Design of Chinese Character Coded Targets for Feature Point Recognition Under Motion-Blur Effect
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3006020
Abstract: Coded targets have been widely used as a type of active visual feature points in fields such as close-range photogrammetry, robot navigation, 3D reconstruction, and augmented reality. However, coded targets in degraded images, such as… read more here.
Keywords: coded targets; motion blur; blur effect; chinese character ... See more keywords
Robust Face Hallucination Algorithm Using Motion Blur Embedded Nearest Proximate Patch Representation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3223141
Abstract: Face hallucination (FH) techniques have received a lot of attention in recent years for generating high-resolution (HR) face images from captured low-resolution (LR), noisy, and blurry images. However, existing FH techniques are incapable of dealing… read more here.
Keywords: nearest proximate; motion blur; face; motion ... See more keywords
Measuring Vehicle Velocity in Real Time Using Modulated Motion Blur of Camera Image Data
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2016.2600281
Abstract: In this paper, a novel sensor system is presented for estimating the velocity using a modulated motion blur. By moving a camera mounted on the vehicle body with a specific pattern when the vehicle is… read more here.
Keywords: system; motion blur; vehicle; velocity ... See more keywords
Modulated Motion Blur-Based Vehicle Body Velocity and Pose Estimation Using an Optical Image Modulator
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3100543
Abstract: This paper presents a new velocity and pose sensor for a ground vehicle using modulated motion blur generated from an optical image modulator (OIM). The OIM repeatedly shakes the lens of a camera in the… read more here.
Keywords: motion blur; vehicle; velocity; vehicle body ... See more keywords
Deep learning versus the human visual system for detecting motion blur in radiography
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.1.015501
Abstract: Abstract. Purpose: The necessity of image retakes is initially determined on a preview monitor equipped with an operating system; therefore, some image blurring is only noticed later, on a high-resolution monitor. The purpose of this… read more here.
Keywords: human observers; system; motion blur; deep learning ... See more keywords
Using a Blur Metric to Estimate Linear Motion Blur Parameters
Sign Up to like & getrecommendations! Published in 2021 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2021/6048137
Abstract: Motion blur is a common artifact in image processing, specifically in e-health services, which is caused by the motion of a camera or scene. In linear motion cases, the blur kernel, i.e., the function that… read more here.
Keywords: motion; motion blur; linear motion; blur metric ... See more keywords
Reducing Motion Blur in Ghost Imaging Via the Hessian Matrix
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app11010323
Abstract: Different from conventional imaging, ghost imaging (GI) is an indirect modality of imaging that needs multiple measurements of the second-order correlation of data collected from two detectors. In some particular cases, the exposure time of… read more here.
Keywords: motion blur; hessian matrix; motion; ghost imaging ... See more keywords