Results 41 to 50 of about 108,873 (282)
Plant Image Classification with Nonlinear Motion Deblurring Based on Deep Learning
Mathematics, 2023 Despite the significant number of classification studies conducted using plant images, studies on nonlinear motion blur are limited. In general, motion blur results from movements of the hands of a person holding a camera for capturing plant images, or ...
Ganbayar Batchuluun +3 more
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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
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Jitter-Camera: High Resolution Video from a Low Resolution Detector [PDF]
, 2004 Video cameras must produce images at a reasonable frame-rate and with a reasonable depth of field. These requirements impose fundamental physical limits on the spatial resolution of the image detector.
Ben-Ezra, Moshe +2 more
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Applied Sciences, 2021 The combination of gesture recognition and aerospace exploration robots can realize the efficient non-contact control of the robots. In the harsh aerospace environment, the captured gesture images are usually blurred and damaged inevitably.
Hongchao Zhuang +3 more
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The effect of integration time on fluctuation measurements: calibrating an optical trap in the presence of motion blur [PDF]
, 2006 Dynamical instrument limitations, such as finite detection bandwidth, do not simply add statistical errors to fluctuation measurements, but can create significant systematic biases that affect the measurement of steady-state properties. Such effects must
Halvorsen, Ken, Wong, Wesley P.
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Towards robust visual odometry by motion blur recovery
Frontiers in Signal ProcessingIntroductionMotion blur, primarily caused by rapid camera movements, significantly challenges the robustness of feature point tracking in visual odometry (VO).MethodsThis paper introduces a robust and efficient approach for motion blur detection and ...
Simin Luan +4 more
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Identification of Blur Parameters from Motion Blurred Images [PDF]
Graphical Models and Image Processing, 1997 The problem of restoration of images blurred by relative motion between the camera and the object scene is important in a large number of applications. The solution proposed here identifies important parameters with which to characterize the point spread function (PSF) of the blur, given only the blurred image itself.
Yitzhak Yitzhaky, Norman S. Kopeika
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Efficient learning-based blur removal method based on sparse optimization for image restoration.
PLoS ONE, 2020 In imaging systems, image blurs are a major source of degradation. This paper proposes a parameter estimation technique for linear motion blur, defocus blur, and atmospheric turbulence blur, and a nonlinear deconvolution algorithm based on sparse ...
Haoyuan Yang +4 more
doaj +1 more source
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
, 2017 Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works typically focus monocular video deblurring.
Dai, Yuchao +3 more
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Event-Based Motion Segmentation by Motion Compensation [PDF]
, 2019 In contrast to traditional cameras, whose pixels have a common exposure time, event-based cameras are novel bio-inspired sensors whose pixels work independently and asynchronously output intensity changes (called "events"), with microsecond resolution ...
Drummond, Tom +4 more
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