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motion-blurred image restoration Based on Joint Invertibility of PSFs

Computer Systems Science & Engineering 2021年第2期36卷 407-416页

作者： Yuye Zhang Jingli Huang Jiandong Liu Hakeel Ahmed Chohan Qingdao Branch Navy Aeronautical and Astronautical UniversityQingdao266041China Dazzle Color Flower Core Speech Training School Qingdao266041China

To implement restoration in a single motion blurred image,the PSF(Point Spread Function)is difficult to estimate and the image deconvolution is ill-posed as a result that a good recovery effect cannot be *** that several different PSFs can get joint invertibility to make restoration wellposed,we proposed a motion-blurred image restoration method based on joint invertibility of PSFs by means of computational ***,we designed a set of observation device which composed by multiple cameras with the same parameters to shoot the moving target in the same field of view continuously to obtain the target images with the same *** target images have the same brightness,but different exposure time and different motion blur *** is easy to estimate the blur PSFs of the target images make use of the sequence frames obtained by one *** to the motion blur superposition feature of the target and its background,the complete blurred target images can be extracted from the observed images ***,for the same target images with different PSFs,the iterative restoration is solved by joint solution of multiple images in spatial *** experiments showed that the moving target observation device designed by this method had lower requirements on hardware conditions,and the observed images are more convenient to use joint-PSF solution for image restoration,and the restoration results maintained details well and had lower signal noise ratio(SNR).

关键词： motion-blurred image restoration PSF invertibility ill-posed problem computational photography

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