Results 31 to 40 of about 6,569 (169)
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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Robust dual motion deblurring [PDF]
2008 IEEE Conference on Computer Vision and Pattern Recognition, 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. We develop a robust feedback algorithm to perform iteratively kernel estimation and image deblurring.
null Jia Chen +3 more
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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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Motion deblurring as optimisation [PDF]
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, 2010 Motion blur is one of the most common causes of image degradation. It is of increasing interest due to the deep penetration of digital cameras into consumer applications. In this paper, we start with a hypothesis that there is sufficient information within a blurred image and approach the deblurring problem as an optimisation process where the ...
V. S. Rao Veeravasarapu +1 more
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Rolling shutter motion deblurring [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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 shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur.
Shuochen Su, Wolfgang Heidrich
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Motion Deblurring in Image Color Enhancement by WGAN
International Journal of Optics, 2020 Motion deblurring and image enhancement are active research areas over the years. Although the CNN-based model has an advanced state of the art in motion deblurring and image enhancement, it fails to produce multitask results when challenged with the ...
Jiangfan Feng, Shuang Qi
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Human and Scene Motion Deblurring Using Pseudo-Blur Synthesizer
IEEE Access, 2021 Present-day deep learning-based motion deblurring methods utilize the pair of synthetic blur and sharp data to regress any particular framework. This task is designed for directly translating a blurry image input into its restored version as output.
Jonathan Samuel Lumentut, In Kyu Park
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Human-Aware Motion Deblurring [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 This paper proposes a human-aware deblurring model that disentangles the motion blur between foreground (FG) humans and background (BG). The proposed model is based on a triple-branch encoder-decoder architecture. The first two branches are learned for sharpening FG humans and BG details, respectively; while the third one produces global, harmonious ...
Shen, Ziyi +6 more
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Robust Single Image Deblurring Using Gyroscope Sensor
IEEE Access, 2021 Motion blur in an image is caused by the movement of the camera during exposure time; thus, awareness of the camera motion is a key factor in image deblurring algorithms.
Seowon Ji +4 more
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