Single Radar Image Motion Deblurring Through PSF Estimation and Convolution Regularizer
Rahul Sharma,
María García-Fernández,
Guillermo Álvarez-Narciandi
et al.
Abstract:This paper proposes a deep learning-based motion deblurring method for radar images using point-spread function (PSF) estimations. Motion blur is a common problem in radar imaging due to the movement of the radar platform or the target. The proposed method uses a convolutional neural network (CNN) to learn the mapping between the blurred and sharp images. In addition, the PSF of the motion blur is estimated using a separate CNN. The estimated point spread function (PSF) is utilized in conjunction with the inpu… Show more
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