Results 21 to 30 of about 1,364,847 (158)
Gradient-wise search strategy for blind image deblurring [PDF]
MATEC Web of Conferences, 2022 Blind image deblurring is a long-standing challenging problem to improve the sharpness of an image as a prerequisite step. Many iterative methods are widely used for the deblurring image, but care must be taken to ensure that the methods have fast ...
Wang Yunhong, Liu Dan
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Motion Deblurring for Single Photograph Based on Particle Swarm Optimization [PDF]
International Journal of Computational Intelligence Systems, 2014 This paper addresses the issue of non-uniform motion deblurring for a single photograph. The main difficulty of spatially variant motion deblurring is that, the deconvolution algorithm can not directly be used to estimate blur kernel, due to the kernel ...
Jing Wei +3 more
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Edge Detection of Motion-Blurred Images Aided by Inertial Sensors
Sensors, 2023 Edge detection serves as the foundation for advanced image processing tasks. The accuracy of edge detection is significantly reduced when applied to motion-blurred images.
Luo Tian +3 more
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MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention
Mathematics, 2022 Medical image acquisition devices are susceptible to producing blurry images due to respiratory and patient movement. Despite having a notable impact on such blind-motion deblurring, medical image deblurring is still underexposed.
S. M. A. Sharif +5 more
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A Blur Restoration Algorithm Based on L0 Regularization [PDF]
Jisuanji gongcheng, 2016 Aiming at the motion blur,a new blind deblurring algorithm is proposed,which is based on the L0 regularization restraints and the prior knowledge of natural image gradient distribution to obtain the real motion kernel.In the proposed methods,T-smooth ...
FANG Shuai,FAN Dong,YU Lei,CAO Fengyun
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Multi-Stage Network for Event-Based Video Deblurring with Residual Hint Attention
Sensors, 2023 Video deblurring aims at removing the motion blur caused by the movement of objects or camera shake. Traditional video deblurring methods have mainly focused on frame-based deblurring, which takes only blurry frames as the input to produce sharp frames ...
Jeongmin Kim, Yong Ju Jung
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Underwater motion deblurring based on cascaded attention mechanism
, 2022 The images captured in the underwater scene frequently suffer from blur effects due to the insufficient light and the relative motion between the captured scenes and the imaging system, which severely hinders the visual-based exploration and ...
T Li (8134317) +4 more
core +5 more sources
Motion Deblurring from a Single Image [PDF]
, 2018 With the information explosion, a tremendous amount photos is captured and shared via social media everyday. Technically, a photo requires a finite exposure to accumulate light from the scene. Thus, objects moving during the exposure generate motion blur
Jin, Meiguang
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Real-World Deep Local Motion Deblurring [PDF]
, 2023 Most existing deblurring methods focus on removing global blur caused by camera shake, while they cannot well handle local blur caused by object movements.
Feng, Huajun +5 more
core +1 more source
Sensors, 2021 Complex marine environment has an adverse effect on the object detection algorithm based on the vision sensor for the smart ship sailing at sea. In order to eliminate the motion blur in the images during the navigation of the smart ship and ensure safety,
Hui Feng +3 more
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