Results 51 to 60 of about 6,362 (162)

ESORecon‐Net: A Novel Framework for Enhanced Brain MRI Image Reconstruction Using Echo State Networks and Osprey Optimization

IET Software, Volume 2026, Issue 1, 2026.
This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability. This study addresses MRI image processing issues such as noise, artifacts, and high‐quality reconstruction. These traits are essential for brain tumor detection and analysis.
N. Sashi Prabha, N. Rama Rao, Nadeem Sarwar   +2 more
wiley   +1 more source

Blur-Robust Object Detection Using Feature-Level Deblurring via Self-Guided Knowledge Distillation

IEEE Access, 2022
Images captured from real-world environments often include blur artifacts resulting from camera movement, dynamic object motion, or out-of-focus.
Sung-Jin Cho, Seung-Wook Kim, Seung-Won Jung, Sung-Jea Ko   +3 more
doaj   +1 more source

Regularization by Global DGMRES Method for Ill‐Posed Matrix Equation AXB = G

Advances in Mathematical Physics, Volume 2026, Issue 1, 2026.
In this article, we deal with the solution of the linear, large‐size, and ill‐posed matrix equation AXB = G, whose matrix G is contaminated with noise. We apply Tikhonov regularization in combination with the Gl‐DGMRES method to mitigate the effect of noise.
Vahid Hosseinabadi, Hossein Sadeghi Goughery, Mahnoor Sarfraz   +2 more
wiley   +1 more source

A Generic Framework for Depth Reconstruction Enhancement

Journal of Imaging, 2022
We propose a generic depth-refinement scheme based on GeoNet, a recent deep-learning approach for predicting depth and normals from a single color image, and extend it to be applied to any depth reconstruction task such as super resolution, denoising and
Hendrik Sommerhoff, Andreas Kolb
doaj   +1 more source

Adult brain T1 and T2 values measured at 3 T using magnetic resonance fingerprinting with phantom validation

Journal of Applied Clinical Medical Physics, Volume 26, Issue 12, December 2025.
Abstract Background For clinical implementation of quantitative MRI methods, it is necessary to understand the expected range of nominally healthy tissue properties. Additionally, to compare measurements across MRI systems or provide guidance for clinically meaningful change, these nominally healthy measurements should be completed with phantom ...
Kalina V. Jordanova, Stephen E. Ogier, Stephen E. Russek, Cassandra M. Stoffer, Karl F. Stupic, Guido Buonincontri, Mathias Nittka, Kathryn E. Keenan   +7 more
wiley   +1 more source

AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee, I Made Putra Arya Winata, Beomsu Cho, Junghyun Oh   +3 more
wiley   +1 more source

Current Application Status and Innovative Development of Surgical Robot

Med Research, Volume 1, Issue 3, Page 378-396, December 2025.
Advantage, Challenge and Innovation of surgical robots. ABSTRACT Surgery has undergone a revolutionary development since the innovations in anesthesiology, aseptic techniques, and antibiotics. The use of modern techniques, especially minimally invasive techniques, has led to a new era of microsurgery and reduced patient trauma.
Aimin Jiang, Zhao Tang, Hanzhong Zhang, Jinxin Li, Jialin Meng, Ying Liu, Yu Fang, Juan Lu, Xu Zhang, Le Qu, Anqi Lin, Linhui Wang   +11 more
wiley   +1 more source

A Generalized New Method for Anomalous Phased Array Radar Echo Image Restoration Based on Generative Adversarial Network

Earth and Space Science, Volume 12, Issue 12, December 2025.
Abstract X‐band Phased array radars are characterized by high spatial and temporal resolution, but suffer from a range of data quality problems, such as echo voids after the filtering of ground clutter, abnormal radials, radial obstructions and irregular missing radar echoes. This paper proposes a radar echo image restoration model (GCD) based on color
Jinyan Xu, Ling Yang, Xiaoqiong Zhen, Yan Fu, Zhendong Yao, Chong Wu, Chao Chen   +6 more
wiley   +1 more source

Ultrafast Dynamic Defect Inspection With Computational Neuromorphic Imaging

Advanced Science, Volume 12, Issue 44, November 27, 2025.
Computational neuromorphic imaging (CNI) is leveraged for ultrafast dynamic defect inspection, offering unparalleled capabilities for fast‐moving samples, complex illumination conditions, and real‐time edge detection. The CNI paradigm will enhance our set of inspection tools in challenging environments, paving the way for intelligent, precise, and low ...
Shuo Zhu, Qianfeng Yin, Chutian Wang, Jianqing Huang, Edmund Y. Lam   +4 more
wiley   +1 more source

Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images [PDF]

, 2022
Theophil Trippe, Martin Genzel, Jan Macdonald, Maximilian März   +3 more
openalex   +1 more source