Results 51 to 60 of about 4,876 (175)
Convolutional Deblurring for Natural Imaging
, 2019 In this paper, we propose a novel design of image deblurring in the form of one-shot convolution filtering that can directly convolve with naturally blurred images for restoration.
Hosseini, Mahdi S. +1 more
core +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 +3 more
wiley +1 more source
Wavelet-Based, Blur-Aware Decoupled Network for Video Deblurring
Applied SciencesVideo deblurring faces a fundamental challenge, as blur degradation comprehensively affects frames by not only causing detail loss but also severely distorting structural information.
Hua Wang +2 more
doaj +1 more source
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
, 2018 We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance ...
Budzan, Volodymyr +4 more
core +1 more source
Pixel-Wise Motion Deblurring of Thermal Videos
Robotics: Science and Systems XVI, 2020 10 pages, 8 figures, Accepted to Robotics: Science and Systems ...
Ramanagopal, Manikandasriram Srinivasan +3 more
openaire +2 more sources
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 +11 more
wiley +1 more source
Joint Blind Motion Deblurring and Depth Estimation of Light Field
, 2018 Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera motion.
A Beck +12 more
core +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 +4 more
wiley +1 more source
, 2017 The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown. Moreover, when pictures are taken in the wild, this task becomes even more challenging due to the blur varying spatially and the occlusions between the ...
A Chakrabarti +10 more
core +1 more source
Pyramid Feature Alignment Network for Video Deblurring
, 2022 Video deblurring remains a challenging task due to various causes of blurring. Traditional methods have considered how to utilize neighboring frames by the single-scale alignment for restoration. However, they typically suffer from misalignment caused by severe blur.
Tao, Leitian, Chen, Zhenzhong
openaire +2 more sources