Results 31 to 40 of about 13,934 (254)
IMU-aided adaptive mesh-grid based video motion deblurring [PDF]
PeerJ Computer ScienceMotion blur is a problem that degrades the visual quality of images for human perception and also challenges computer vision tasks. While existing studies mostly focus on deblurring algorithms to remove uniform blur due to their computational efficiency,
Ahmet Arslan +2 more
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Accurate and Fast Blur Detection Using a Pyramid M-Shaped Deep Neural Network
IEEE Access, 2019 Blur detection is aimed at estimating the probability of each pixel being blurred or non-blurred in an image affected by motion or defocus blur. This task has gained considerable attention due to its promising application fields in computer vision ...
Xuewei Wang +5 more
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Motion-blur-free video shooting system based on frame-by-frame intermittent tracking
ROBOMECH Journal, 2017 In this paper, a concept of frame-by-frame intermittent tracking to achieve motion-blur-free and high-brightness images when video shooting fast moving scenes is proposed.
Michiaki Inoue +4 more
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Object Motion Deblurring in Single Image Under Static Background
IEEE Access, 2020 When shooting a moving object, as the object moves too fast or the camera's exposure time is too long, smears may occur in the image, which would result in motion blur. The blind restoration of object motion blur is a challenging inversive problem.
Tengteng Zhang +4 more
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Mathematical Problems of Computer Science, 2021 In this paper, we present deep learning-based blind image deblurring methods for estimating and removing a non-uniform motion blur from a single blurry image. We propose two fully convolutional neural networks (CNN) for solving the problem.
Misak T. Shoyan +2 more
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Learning to Synthesize Motion Blur [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 http://timothybrooks.com/tech/motion-blur/ .
Tim Brooks, Jonathan T. Barron
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Restoration of Motion Blurred Images [PDF]
2006 IEEE International Conference on Multimedia and Expo, 2006 In this paper, we present several algorithms developed for restoration of motion blurred images. We begin with a single-image based deblurring approach in the case of linear constant motion. This approach is a wavelet-based method with a novel lp-norm regularization term.
Juwei Lu +2 more
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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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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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Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source