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An Efficient Blind Image Deblurring Using a Smoothing Function
Applied Computational Intelligence and Soft Computing
This paper introduces an efficient deblurring image method based on a convolution-based and an iterative concept. Our method does not require specific conditions on images, so it can be widely applied for unspecific generic images. The kernel estimation is firstly performed and then will be used to estimate a latent image in each iteration. The final deblurred image is obtained from the convolution of the blurred image with the final estimated kernel. However, image deblurring is an ill-poseddoi:10.1155/2021/6684345 fatcat:zqj7c6homrgvbhn6borhbcdxza