Results 41 to 50 of about 1,364,847 (158)
Rolling Shutter Motion Deblurring [PDF]
, 2015 Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling ...
Shuochen Su +3 more
core +2 more sources
A Deep Motion Deblurring Network Using Channel Adaptive Residual Module
IEEE Access, 2021 In this paper, we solve the problem of dynamic scenes deblurring with motion blur. Restoration of images in the presence of motion blur necessitates a network design that the receptive field can completely cover all areas that need to be deblurred, while
Ying Chen +3 more
doaj +1 more source
A New Method of Blurring and Deblurring Digital Images Using the Markov Basis
Journal of Kufa for Mathematics and Computer, 2016 In this paper, we introduce a new method of blurring and deblurring digital images using new filters generating from Average filter using HB Markov basis. We call these filters HB-filters. We used these filters to cause a motion blur and then deblurring
Hind Rustum Mohammed +2 more
doaj +1 more source
, 2008 This paper presents a robust algorithm to deblur two consecutively captured blurred photos from camera shaking. Previous dual motion deblurring algorithms succeeded in small and simple motion blur and are very sensitive to noise.
Jia Chen +7 more
core +1 more source
3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback
Advanced Intelligent Systems, EarlyView.A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu +2 more
wiley +1 more source
Plenoptic Image Motion Deblurring
, 2018 We propose a method to remove motion blur in a single light field captured with a moving plenoptic camera. Since motion is unknown, we resort to a blind deconvolution formulation, where one aims to identify both the blur point spread function and the ...
Paramanand Chandramouli +7 more
core +1 more source
On Motion Blur and Deblurring in Visual Place Recognition [PDF]
Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR methods has been extensively studied under conditions such as changes in ...
Ferrarini, Bruno +5 more
core +3 more sources
A progressive framework for rotary motion deblurring
Defence TechnologyThe rotary motion deblurring is an inevitable procedure when the imaging seeker is mounted in the rotating missiles. Traditional rotary motion deblurring methods suffer from ringing artifacts and noise, especially for large blur extents.
Jinhui Qin +4 more
doaj +1 more source
IEEE Access, 2019 It is of great importance to capture long-range dependency in image deblurring based on deep learning. Existing methods often capture long-range dependency by a large receptive field, which contributes by deep stacks of local convolutional operations ...
Bingxin Zhao, Weihong Li, Weiguo Gong
doaj +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Gap‐filled zero echo time (ZTE) acquisitions combined with dedicated short‐T2 hardware enable direct collagen imaging on the timescale of macromolecular (MM) signals, with T2s ˜ 10 μs. However, present methods offer limited depiction fidelity, and their specificity towards MM content is poorly understood. This work presents methodology
Jason Daniel van Schoor +3 more
wiley +1 more source