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Estimation Method of Blurred Parameters in Moving Blurred Image
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Estimation Method of Blurred Parameters in Moving Blurred Image
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Journal Article
Estimation Method of Blurred Parameters in Moving Blurred Image
2020
Overview
In order to improve the quality of image restoration and remove the blur caused by motion in the image, a blurred parameter recognition algorithm with point spread function is proposed. This algorithm combines the Fourier spectrum of the image with the edge detection based on phase consistency and identifies the blurred angle by determining the direction of the edge of the center bright stripe. Then bilinear interpolation is used to generate the sub-pixel image of the spectrum, calculate the distance between the dark bands, and estimate the blurred length. Experimental results show that, compared with the traditional algorithm, the proposed method can not only obtain higher precision of blurred angle and blurred length, but also have better stability, and can correctly detect blurred parameters of blurred images with different scales and contents.
Publisher
IOP Publishing
