supported by the National Natural Science Foundation of China(No.12202476).
In the PSP(Pressure-Sensitive Paint),image deblurring is essential due to factors such as prolonged camera exposure times and highmodel velocities,which can lead to significant image blurring.Conventional deblurring m...
the National Natural Science Foundation of China under Grant 62075169,Grant 62003247,and Grant 62061160370;the Hubei Province Key Research and Development Program under Grant 2021BBA235;the Zhuhai Basic and Applied Basic Research Foundation under Grant ZH22017003200010PWC.
The rotary motion deblurring is an inevitable procedure when the imaging seeker is mounted in the rotating missiles.Traditional rotary motion deblurring methods suffer from ringing artifacts and noise,especially for l...
Supported by the National Natural Science Foundation of China (62172190);the“Double Creation”Plan of Jiangsu Province (JSSCRC2021532);the“Taihu Talent-Innovative Leading Talent”Plan of Wuxi City (Certificate Date:202110)。
Background For static scenes with multiple depth layers,existing defocused image deblurring methods have the problems of edge-ringing artifacts or insufficient deblurring owing to inaccurate estimation of the blur amo...
supported by National Natural Science Foundation of China (grants 31971567 and 31622015);Fundamental Research Funds for the Central Universities (YJ201936,SCU2020D003,SCU2021D006,SCU2022D003)。
The strength of phylogeographic breaks can vary among species in the same area despite being subject to the same geological and climate history due to differences in biological traits.Several important phylogeographic...
the United States Air Force Office of Scientific Research(AFOSR)contract FA9550-22-1-0268 awarded to KHA,https://www.afrl.af.mil/AFOSR/.The contract is entitled:“Investigating Improving Safety of Autonomous Exploring Intelligent Agents with Human-in-the-Loop Reinforcement Learning,”and in part by Jackson State University.
The object detection technique depends on various methods for duplicating the dataset without adding more images.Data augmentation is a popularmethod that assists deep neural networks in achieving better generalizatio...
supported by the Open Foundation of Terahertz Science and Technology Key Laboratory of Sichuan Province(THZSC202001);Open Foundation of Key Laboratory of Industrial Internet of Things&Networked Control(2020FF06);Sichuan Science and Technology Program(2020YFG0458)。
The key to multi-sensor image fusion is the fusion of infrared and visible images.Fusion of infrared and visible images with generative adversarial network(GAN)has great advantages in automatic feature extraction and ...
Blur is produced in a digital image due to low passfiltering,moving objects or defocus of the camera lens during capture.Image viewers are annoyed by blur artefact and the image's perceived quality suffers as a result...
supported by the National Natural Science Foundation of China (61971165, 61922027, 61773295);in part by the Fundamental Research Funds for the Central Universities (FRFCU5710050119);the Natural Science Foundation of Heilongjiang Province(YQ2020F004);the Chinese Association for Artificial Intelligence(CAAI)-Huawei Mind Spore Open Fund
Reducing the defocus blur that arises from the finite aperture size and short exposure time is an essential problem in computational photography.It is very challenging because the blur kernel is spatially varying and ...
This work is supported by the BK-21 FOUR program and by the Creative Challenge Research Program(2021R1I1A1A01052521)through National Research Foundation of Korea(NRF)under Ministry of Education,Korea.
Enormousmethods have been proposed for the detection and segmentation of blur and non-blur regions of the images.Due to the limited available information about blur type,scenario and the level of blurriness,detection ...