Results 11 to 20 of about 6,499 (150)
Image Quality Improvements Based on Motion-Based Deblurring for Single-Photon Imaging
IEEE Access, 2021 Photon counting imaging can be used to capture clearly photon-limited scenes. In photon counting imaging, information on incident photons is obtained as binary frames (bit-plane frames), which are transformed into a multi-bit image in the reconstruction ...
Kiyotaka Iwabuchi +2 more
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Infrared Image Deblurring Based on Generative Adversarial Networks
International Journal of Optics, 2021 Blind deblurring of a single infrared image is a challenging computer vision problem. Because the blur is not only caused by the motion of different objects but also by the relative motion and jitter of cameras, there is a change of scene depth.
Yuqing Zhao +4 more
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A domain translation network with contrastive constraint for unpaired motion image deblurring
IET Image Processing, 2023 Most motion deblurring methods require a large amount of paired training data, which is nearly unreachable in practice. To overcome the limitation, a domain translation network with contrastive constraint for unpaired motion image deblurring is proposed.
Bingxin Zhao, Weihong Li
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Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel estimation is
Jie Fang +3 more
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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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RAID-Net: Region-Aware Image Deblurring Network Under Guidance of the Image Blur Formulation
IEEE Access, 2022 Image deblurring is a challenging field in computational photography and computer vision. In the deep learning era, deblurring methods boosted with neural networks achieve significant results.
Lianjun Liao, Zihao Zhang, Shihong Xia
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Continuous Facial Motion Deblurring
IEEE Access, 2022 We introduce a novel framework for continuous facial motion deblurring that restores the continuous sharp moment latent in a single motion-blurred face image via a moment control factor.
Tae Bok Lee, Sujy Han, Yong Seok Heo
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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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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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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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