Blind restoration method for moving blurred image

Abstract

Disclosed is a blind restoration method for the motion blurred image; the steps are as follows: (1) the image is converted through the cepstrum method to figure out the blur extent and the blur direction of the blurred image; (2) the blur extent and the blur direction of the blurred image figured out in step (1), and the total variation (TV) method are adopted to process the restoration towards the blurred image. The method based on the total variation (TV) includes: the fixed-point iteration used as the outer-loop and the conjugate gradient method used as the inner-loop are adopted for loop iteration to obtain the restored image. The blind restoration method has the advantages of strong self-adaptation, strong anti-noise ability and good robustness; the blind restoration method has validity and practicality according to the processing effects of the simulation picture and the photographed picture.

Description

technical field [0001] The invention relates to a blind restoration method of a motion blurred image, which belongs to the field of image processing. Background technique [0002] With the rapid development of information technology and computers, digital image processing has been widely used and developed, but due to the relative movement between the target and the imaging system, the image will be degraded, especially when the relative movement speed is too fast, it will seriously affect the The quality of imaging causes blurred and smeared images, which increases the difficulty and uncertainty of image recognition, target tracking and target detection. [0003] At present, although many literatures are also researching and discussing methods to solve motion blur images, such as deconvolution (inverse filtering) method, Wiener filtering, projection method, maximum entropy restoration, etc., these methods are sensitive to noise and robust. The fatal weakness is that the po...

AI Technical Summary

Problems solved by technology

Among them, the image blind restoration method based on the maximum likelihood function has high requirements for the estimation of the initial PSF. When the initial estimated value is far from the real PSF, the image restoration effect is very poor.

Blind image restoration based on wavelet transform assumes that the wavelet transform coefficients of the image obey the local Gaussian model, but this assumption is generally not true for aerospace images and medical images, and this method is computationally intensive and time-consuming

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