Results 101 to 110 of about 293,019 (211)

Stereoscopic Video Deblurring Transformer [PDF]

Stereoscopic 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.
Imani, H., Ahad, Md Atiqur Rahman, Islam, M. B., Junayed, M   +3 more
core   +1 more source

Improving the Neural Segmentation of Blurry Serial SEM Images by Blind Deblurring. [PDF]

Comput Intell Neurosci, 2023
Cheng A, Kang K, Zhu Z, Zhang R, Wang L.
europepmc   +1 more source

Blind Deblurring of Remote-Sensing Single Images Based on Feature Alignment. [PDF]

Sensors (Basel), 2022
Zhu B, Lv Q, Yang Y, Sui X, Zhang Y, Tang Y, Tan Z.   +6 more
europepmc   +1 more source

Application of blind deconvolution and Lucy-Richardson Deconvolution for image deblurring

, 2018
No AbstractKeywords: image deblurring; blind deconvolution; Lucy-Richardson deconvolution; Gaussian blur ...
Halim, S.A., Abang, M.Z., Ramli, M.S.
core   +1 more source

Efficient, Blind, Spatially-Variant Deblurring for Shaken Images [PDF]

, 2014
International audienceIn this chapter we discuss modeling and removing spatially-variant blur from photographs. We describe a compact global parameterization of camera shake blur, based on the 3D rotation of the camera during the exposure. Our model uses
Ponce, Jean, Andrew Zisserman, Zisserman, Andrew, Jean Ponce, Whyte, Oliver, Sivic, Josef, Oliver Whyte, Josef Sivic   +7 more
core   +1 more source

Patch-Wise Blind Image Deblurring Via Michelson Channel Prior

IEEE Access, 2019
Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen, Chao Min, Zeyun Jiang, Zhaozhong Yang, Xiaogang Li   +4 more
doaj   +1 more source

FPGA-Based Real-Time Deblurring and Enhancement for UAV-Captured Infrared Imagery

Remote Sensing
In response to the inherent limitations of uncooled infrared imaging devices and the image degradation caused by UAV (Unmanned Aerial Vehicle) platform motion, resulting in low contrast and blurred details, a novel single-image blind deblurring and ...
Jianghua Cheng, Lehao Pan, Tong Liu, Bang Cheng, Yahui Cai   +4 more
doaj   +1 more source

Image deblurring

, 2022
Image deblurring is the image restoration process through which undesirable blur is removed from the image. This blur could be caused by many factors, including but not limited to, camera shake and incorrect focus.
Aanchal, Mahajan
core  

Data-driven gradient priors integrated into blind image deblurring

Blind image deblurring is a severely ill-posed task. Most existing methods focus on deep learning to learn massive data features while ignoring the vital significance of classic image structure priors.
Li, Chongyi, Guo, Jichang, Qing, Qi
core   +1 more source

Neural blind deconvolution for deblurring and supersampling PSMA PET [PDF]

Objective: To simultaneously deblur and supersample prostate specific membrane antigen (PSMA) positron emission tomography (PET) images using neural blind deconvolution. Approach: Blind deconvolution is a method of estimating the hypothetical "deblurred"
Sample, Caleb, Rahmim, Arman, Clark, Haley, Fedrigo, Roberto, Uribe, Carlos, Bénard, François, Wu, Jonn   +6 more
core   +1 more source