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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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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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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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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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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GS-MSDR: Gaussian Splatting with Multi-Scale Deblurring and Resolution Enhancement [PDF]
SensorsRecent advances in 3D Gaussian Splatting (3DGS) have achieved remarkable performance in scene reconstruction and novel view synthesis on benchmark datasets.
Fang Wan +5 more
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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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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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MIMO-Uformer: A Transformer-Based Image Deblurring Network for Vehicle Surveillance Scenarios [PDF]
Journal of ImagingMotion blur is a common problem in the field of surveillance scenarios, and it obstructs the acquisition of valuable information. Thanks to the success of deep learning, a sequence of CNN-based architecture has been designed for image deblurring and has ...
Jian Zhang +6 more
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An Improved Generative Adversarial Network-Based and U-Shaped Transformer Method for Glass Curtain Crack Deblurring Using UAVs [PDF]
SensorsDrones have emerged as a critical tool for the detection of high-altitude glass curtain cracks. However, their utility is often compromised by vibrations and other environmental factors that can induce motion blur, compromising image quality and the ...
Jiaxi Huang, Guixiong Liu
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