Results 1 to 10 of about 1,064 (129)

A state-of-the-art review of image motion deblurring techniques in precision agriculture. [PDF]

Heliyon, 2023
Image motion deblurring is a crucial technology in computer vision that has gained significant attention attracted by its outstanding ability for accurate acquisition of motion image information, processing and intelligent decision making, etc.
Huihui Y, Daoliang L, Yingyi C.
europepmc   +2 more sources

Multi-Stage Attentive Network for Motion Deblurring via Binary Cross-Entropy Loss. [PDF]

Entropy (Basel), 2022
In this paper, we present the multi-stage attentive network (MSAN), an efficient and good generalization performance convolutional neural network (CNN) architecture for motion deblurring. We build a multi-stage encoder–decoder network with self-attention
Guo C, Chen X, Chen Y, Yu C.
europepmc   +2 more sources

A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems. [PDF]

Med Phys
Abstract Background Speckle patterns in ultrasound images often obscure anatomical details, leading to diagnostic uncertainty. Recently, various deep learning‐based techniques have been introduced to effectively suppress speckle; however, their high computational costs pose challenges for low‐resource devices, such as portable ultrasound systems ...
Cho H, Lee J, Lee J, Yoo Y, Kang J.
europepmc   +2 more sources

Lightweight Asymmetric Convolutional Residual Network for Efficient Motion Image Deblurring. [PDF]

Entropy (Basel)
Motion image deblurring remains challenging because many existing models rely on complex architectures, leading to high computational cost and parameter redundancy, particularly under non-uniform blur in real-world scenes.
Li H, Yue Y, Li J, Guo Z, Wu M.
europepmc   +2 more sources

Localized Quadratic RF Encoded Spin-Echo With Spiral-PRIME Reconstruction: A Practical Alternative to 3D FSE for High-Resolution Volumetric Brain MRI. [PDF]

Magn Reson Med
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Krishnamoorthy G, Velikina JV, Pipe JG.
europepmc   +2 more sources

Current-Aware Temporal Fusion with Input-Adaptive Heterogeneous Mixture-of-Experts for Video Deblurring. [PDF]

Sensors (Basel)
In image sensing, measurements such as an object’s position or contour are typically obtained by analyzing digitized images. This method is widely used due to its simplicity. However, relative motion or inaccurate focus can cause motion and defocus blur,
Zhang Y, Zhao Z, Namiki A.
europepmc   +2 more sources

Physically Guided Attention Mechanism for Underwater Motion Deblurring via Cepstrum-Based Blur Estimation. [PDF]

J Imaging
Underwater images often suffer from mixed degradations, including motion blur, which reduce structural clarity and adversely affect downstream vision tasks.
Hu N, Li S, Tan J.
europepmc   +2 more sources

Fast motion deblurring using sensor-aided motion trajectory estimation. [PDF]

ScientificWorldJournal, 2014
This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors.
Lee E, Chae E, Cheong H, Paik J.
europepmc   +2 more sources

Adaptive Image Deblurring Convolutional Neural Network with Meta-Tuning. [PDF]

Sensors (Basel)
Motion blur is a complex phenomenon caused by the relative movement between an observed object and an imaging sensor during the exposure time, resulting in degradation in the image quality.
Ho QT, Duong MT, Lee S, Hong MC.
europepmc   +2 more sources

Overview of Blind Deblurring Methods for Single Image [PDF]

Jisuanji kexue yu tansuo, 2022
Image deblurring has been a research hotspot in computer vision and image processing for a long time. The motion blur or focus blur image caused by camera jitter, object motion or defocus will seriously affect the use and follow-up processing of the ...
LIU Liping, SUN Jian, GAO Shiyan
doaj   +1 more source