Results 31 to 40 of about 2,318 (187)
Nonlinear Deblurring for Low-Light Saturated Image
Sensors, 2023 Single image deblurring has achieved significant progress for natural daytime images. Saturation is a common phenomenon in blurry images, due to the low light conditions and long exposure times.
Shuning Cao +4 more
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CoRR, 2021 Camera gimbal systems are important in various air or water borne systems for applications such as navigation, target tracking, security and surveillance. A higher steering rate (rotation angle per second) of gimbal is preferable for real-time applications since a given field-of-view (FOV) can be revisited within a short period of time. However, due to
Nisha Varghese +2 more
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Iterative Blind Deconvolution Algorithm for Deblurring a Single PSP/TSP Image of Rotating Surfaces
Sensors, 2018 Imaging of pressure-sensitive paint (PSP) for pressure measurement on moving surfaces is problematic due to the movement of the object within the finite exposure time of the imager, resulting in the blurring of the blade edges.
Anshuman Pandey, James W. Gregory
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Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring
IEEE Access, 2021 Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work, we define a more realistic video frames averaging-based data degradation
Abdelwahed Nahli +4 more
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Deblurring by Realistic Blurring [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Existing deep learning methods for image deblurring typically train models using pairs of sharp images and their blurred counterparts. However, synthetically blurring images do not necessarily model the genuine blurring process in real-world scenarios with sufficient accuracy.
Kaihao Zhang +6 more
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Resolution-Preserving Generative Adversarial Networks for Image Enhancement
IEEE Access, 2019 Generative adversarial networks (GANs) are used for image enhancement such as single image super-resolution (SISR) and deblurring. The conventional GANs-based image enhancement suffers from two drawbacks that cause a quality degradation due to a loss of ...
Donghyeon Lee +4 more
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Symmetrization techniques in image deblurring
ETNA - Electronic Transactions on Numerical Analysis, 2023 This paper presents a couple of preconditioning techniques that can be used to enhance the performance of iterative regularization methods applied to image deblurring problems with a variety of point spread functions (PSFs) and boundary conditions. More precisely, we first consider the anti-identity preconditioner, which symmetrizes the coefficient ...
Donatelli M., Ferrari P., Gazzola S.
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Forward Motion Deblurring [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We handle a special type of motion blur considering that cameras move primarily forward or backward. Solving this type of blur is of unique practical importance since nearly all car, traffic and bike-mounted cameras follow out-of-plane translational motion.
Shicheng Zheng, Li Xu 0001, Jiaya Jia
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A multi-task approach to face deblurring
EURASIP Journal on Wireless Communications and Networking, 2019 Image deblurring is a foundational problem with numerous application, and the face deblurring subject is one of the most interesting branches. We propose a convolutional neural network (CNN)-based architecture that embraces multi-scale deep features.
Ziyi Shen +4 more
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CoRR, 2022 With the improvement of social life quality and the real needs of daily work, images are more and more all around us. Image blurring due to camera shake, human movement, etc. has become the key to affecting image quality. How to remove image blur and restore clear image has gradually become an important research direction in the field of computer ...
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