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...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 large blur extents.To solve the above problems,we propose a progressive rotary motion deblurring framework consisting of a coarse deblurring stage and a refinement stage.In the first stage,we design an adaptive blur extents factor(BE factor)to balance noise suppression and details reconstruction.And a novel deconvolution model is proposed based on BE factor.In the second stage,a triplescale deformable module CNN(TDM-CNN)is designed to reduce the ringing artifacts,which can exploit the 2D information of an image and adaptively adjust spatial sampling locations.To establish a standard evaluation benchmark,a real-world rotary motion blur dataset is proposed and released,which includes rotary blurred images and corresponding ground truth images with different blur angles.Experimental results demonstrate that the proposed method outperforms the state-of-the-art models on synthetic and real-world rotary motion blur datasets.The code and dataset are available at https://github.com/JinhuiQin/RotaryDeblurring.展开更多
The relative motion between an imaging system and its target usually leads to image blurring.We propose a motion deblurring imaging system based on the Fourier-transform ghost diffraction(FGD)technique,which can overc...The relative motion between an imaging system and its target usually leads to image blurring.We propose a motion deblurring imaging system based on the Fourier-transform ghost diffraction(FGD)technique,which can overcome the spatial resolution degradation caused by both laterally and axially translational motion of the target.Both the analytical and experimental results demonstrate that when the effective transmission aperture of the receiving lens is larger than the target's lateral motion amplitude and even if the target is located in the near-field region of the source,the amplitude and mode of the target's motion have no effect on the quality of FGD,and high-resolution imaging in the spatial domain can be always achieved by the phase-retrieval method from the FGD patterns.Corresponding results based on the conventional Fourier diffraction system are also compared and discussed.展开更多
基金the National Natural Science Foundation of China under Grant 62075169,Grant 62003247,and Grant 62061160370the Hubei Province Key Research and Development Program under Grant 2021BBA235the Zhuhai Basic and Applied Basic Research Foundation under Grant ZH22017003200010PWC.
文摘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 large blur extents.To solve the above problems,we propose a progressive rotary motion deblurring framework consisting of a coarse deblurring stage and a refinement stage.In the first stage,we design an adaptive blur extents factor(BE factor)to balance noise suppression and details reconstruction.And a novel deconvolution model is proposed based on BE factor.In the second stage,a triplescale deformable module CNN(TDM-CNN)is designed to reduce the ringing artifacts,which can exploit the 2D information of an image and adaptively adjust spatial sampling locations.To establish a standard evaluation benchmark,a real-world rotary motion blur dataset is proposed and released,which includes rotary blurred images and corresponding ground truth images with different blur angles.Experimental results demonstrate that the proposed method outperforms the state-of-the-art models on synthetic and real-world rotary motion blur datasets.The code and dataset are available at https://github.com/JinhuiQin/RotaryDeblurring.
基金supported by the National Natural Science Foundation of China(No.62471323)the National Key Laboratory of Air-based Information Perception and Fusion(No.202400010M3001)the Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province,Soochow University(No.ZZ2307)。
文摘The relative motion between an imaging system and its target usually leads to image blurring.We propose a motion deblurring imaging system based on the Fourier-transform ghost diffraction(FGD)technique,which can overcome the spatial resolution degradation caused by both laterally and axially translational motion of the target.Both the analytical and experimental results demonstrate that when the effective transmission aperture of the receiving lens is larger than the target's lateral motion amplitude and even if the target is located in the near-field region of the source,the amplitude and mode of the target's motion have no effect on the quality of FGD,and high-resolution imaging in the spatial domain can be always achieved by the phase-retrieval method from the FGD patterns.Corresponding results based on the conventional Fourier diffraction system are also compared and discussed.
