Multi-Stage Attentive Network for Motion Deblurring via Binary Cross-Entropy Loss [PDF]
Entropy, 2022 In this paper, we present the multi-stage attentive network (MSAN), an efficient and good generalization performance convolutional neural network (CNN) architecture for motion deblurring. We build a multi-stage encoder–decoder network with self-attention
Cai Guo +3 more
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A state-of-the-art review of image motion deblurring techniques in precision agriculture [PDF]
Heliyon, 2023 Image motion deblurring is a crucial technology in computer vision that has gained significant attention attracted by its outstanding ability for accurate acquisition of motion image information, processing and intelligent decision making, etc.
Yu Huihui, Li Daoliang, Chen Yingyi
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Current-Aware Temporal Fusion with Input-Adaptive Heterogeneous Mixture-of-Experts for Video Deblurring [PDF]
SensorsIn image sensing, measurements such as an object’s position or contour are typically obtained by analyzing digitized images. This method is widely used due to its simplicity. However, relative motion or inaccurate focus can cause motion and defocus blur,
Yanwen Zhang, Zejing Zhao, Akio Namiki
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Fast Motion Deblurring Using Sensor-Aided Motion Trajectory Estimation [PDF]
The Scientific World Journal, 2014 This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors.
Eunsung Lee +3 more
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Adaptive Image Deblurring Convolutional Neural Network with Meta-Tuning [PDF]
SensorsMotion blur is a complex phenomenon caused by the relative movement between an observed object and an imaging sensor during the exposure time, resulting in degradation in the image quality.
Quoc-Thien Ho +3 more
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Physically Guided Attention Mechanism for Underwater Motion Deblurring via Cepstrum-Based Blur Estimation [PDF]
Journal of ImagingUnderwater images often suffer from mixed degradations, including motion blur, which reduce structural clarity and adversely affect downstream vision tasks.
Ning Hu, Shuai Li, Jindong Tan
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SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing [PDF]
Sensors, 2020 Muhammad Owais +2 more
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Overview of Blind Deblurring Methods for Single Image [PDF]
Jisuanji kexue yu tansuo, 2022 Image deblurring has been a research hotspot in computer vision and image processing for a long time. The motion blur or focus blur image caused by camera jitter, object motion or defocus will seriously affect the use and follow-up processing of the ...
LIU Liping, SUN Jian, GAO Shiyan
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Stereoscopic video deblurring transformer [PDF]
Scientific ReportsStereoscopic cameras, such as those in mobile phones and various recent intelligent systems, are becoming increasingly common. Multiple variables can impact the stereo video quality, e.g., blur distortion due to camera/object movement.
Hassan Imani +3 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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