Results 81 to 90 of about 2,423 (185)
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 Blind deblurring consists a long studied task, however the outcomes of generic methods are not effective in real world blurred images. Domain-specific methods for deblurring targeted object categories, e.g. text or faces, frequently outperform their generic counterparts, hence they are attracting an increasing amount of attention.
Grigorios G. Chrysos, Stefanos Zafeiriou
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Blind image deblurring method based on
Journal of Measurement Science and Instrumentation, 2023 Aiming at the problem of ringing artifacts existing in the edge of image in traditional blind image deblurring methods, l1/l2 regularization-based blind image deblurring method is proposed. The latent image is constrained by l1/l2 regularization, and the
CAO Shengfang, HU Hongping, WANG Wenke
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An Edge-Enhanced Branch for Multi-Frame Motion Deblurring
IEEE AccessNon-uniform deblurring is one of the most important image restoration tasks for providing appropriate information for subsequent applications that require image recognition.
Sota Moriyama, Koichi Ichige
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Deblurring Network for UV Images of Colorless Chemicals Floating on Sea Surface
Journal of Marine Science and EngineeringAutomatic imaging monitoring technology has been developed as a mature solution to address oil spill accidents. However, when airborne equipment is used to monitor the area of leakage, there is a chance of relative motion between the equipment and the ...
Hui Huang +5 more
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Single Image Defocus Deblurring Based on Structural Information Enhancement
IEEE AccessDefocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus ...
Guangming Feng +3 more
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Occupancy Estimation from Blurred Video: A Multifaceted Approach with Privacy Consideration
SensorsBuilding occupancy information is significant for a variety of reasons, from allocation of resources in smart buildings to responding during emergency situations.
Md Sakib Galib Sourav +6 more
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TFCNet: A Hybrid Architecture for Multi-Task Restoration of Complex Underwater Optical Images
Journal of Marine Science and EngineeringUnderwater optical images are crucial in marine exploration. However, capturing these images directly often results in color distortion, noise, blurring, and other undesirable effects, all of which originate from the unique physical and chemical ...
Shengya Zhao +4 more
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Deblurring, artifact-free optical coherence tomography with deconvolution-random phase modulation
Opto-Electronic ScienceDeconvolution is a commonly employed technique for enhancing image quality in optical imaging methods. Unfortunately, its application in optical coherence tomography (OCT) is often hindered by sensitivity to noise, which leads to additive ringing ...
Xin Ge +6 more
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Image deblurring based on fractional-order total variation and diffusion models
四川大学学报. 自然科学版Image deblurring is a significant area of study in the field of digital image processing.In various practical applications，due to relative motion between imaging devices and objects，the resulting blurring will degrade the image quality and visual effect ...
HUANG Hao, PU Yi-Fei
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Image deblurring method for satellite platform caused by jitter
Tongxin xuebao, 2017 TDI CCD camera with its multi-level integral imaging features has become the mainstream sensor of current high-resolution optical remote sensor imaging system,but if there is platform tremor in its imaging process,it will produce images blur,affecting ...
Xiao-lin SONG, Zhong-hao FANG, Jun PAN
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