Results 1 to 10 of about 15,547 (189)
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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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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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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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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WIG-Net: Wavelet-Based Defocus Deblurring with IFA and GCN
Applied Sciences, 2023 Although the existing deblurring methods for defocused images are capable of approximately recovering clear images, they still exhibit certain limitations, such as ringing artifacts and remaining blur.
Yi Li, Nan Wang, Jinlong Li, Yu Zhang
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Reference-Based Multi-Level Features Fusion Deblurring Network for Optical Remote Sensing Images
Remote Sensing, 2022 Blind image deblurring is a long-standing challenge in remote sensing image restoration tasks. It aims to recover a latent sharp image from a blurry image while the blur kernel is unknown.
Zhiyuan Li +4 more
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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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An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria
International Journal of Advanced Robotic Systems, 2018 Image deblurring is a challenging problem in image processing, which aims to reconstruct an original high-quality image from its blurred measurement caused by various factors, for example, imperfect focusing caused by the imaging system or different ...
Nannan Wang +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 This article presents an image deblurring method using ℓ0-norm-based deblurring and ℓ2-norm-based texture-aware image fusion for remote sensing images.
Heunseung Lim +4 more
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Recovering Blurred Images to Recognize Field Information
Proceedings, 2022 This paper introduces a new computational approach for fast deblurring non-blind imaging. The method implementation reveals how to solve image deblurring integrals with arbitrary kernels using the Theory of Hypernumbers. The method is applicable for real-
Arkadiy Dantsker
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