A Blind Deblurring Strategy for Images based on Iterative and Guided Filtering
Xiaojing Liu, Zhen Hong Fan · 2023
Image deblurring is an important branch of image restoration tasks. In order to eliminate blurring in a single image, an image deblurring strategy is proposed. Specifically, first enhance the image, then delimit the special area, calculate the initial iterative Point spread function according to the initial state of the special area and the enhanced state, and finally restore the original image according to the blind image Iterative method method combined with guided filtering. Compared with the Iterative method directly used for image blind deblurring, the strategy in this paper can give an initial Point spread function that is closer to the true value. At the same time, due to the existence of guided filtering, the iterative strategy in this paper can achieve the estimation of the original image faster.