High-energy X-ray image blind restoration method and system

Abstract

The invention discloses a high-energy X-ray image blind restoration method and system. The method comprises the following steps: firstly, proposing definition of an image region extreme value according to the characteristic that high-energy X-ray image gray level distribution is concentrated and continuous; then, constraining the regional extreme value and the blurring kernel of the image by using an l0 norm, and constructing an image blind restoration model on an MAP framework in combination with the gradient prior of the image; thirdly, alternately solving a clear image and a fuzzy kernel through a semi-quadratic splitting method and fast Fourier transform, and accelerating the solving of sub-problems by using linear approximation and an acceleration conjugate gradient method; and finally, obtaining the main structure information of the preliminarily estimated blurring kernel through a skeleton extraction and traversal method, constructing a continuous function in a blurring kernel cross sliding window for optimization, and performing non-blind deconvolution on the blurring image by using the optimized blurring kernel k, to obtain a clear image. According to the method, the system blurring in the high-energy X-ray image is better removed, the quality of the image is improved, and a more accurate blurring kernel is estimated for nonlinear reconstruction of the image.

Description

technical field [0001] The invention relates to a high-energy X-ray image blind restoration method and system, belonging to the technical field of image processing. Background technique [0002] Among the current technologies for diagnosing and testing nuclear weapons, high-energy X-ray radiography is often used to diagnose the density information and structural information changes of objects during the explosion and bombing process, which is of great significance in the field of national defense. The quality of high-energy radiography images significantly affects the performance of diagnostic tests. Due to the complexity of its imaging system, various degradation factors are prone to occur in multiple processes such as imaging, transmission, and reception. Therefore, imaging has problems such as large noise, distortion, and serious blur, which makes the image quality poor. Removing the effects of blur and degradation to obtain higher quality images is the premise of X-ray ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defects of poor restoration effect of high-energy X-ray images and insufficient accuracy of blur kernel estimation in the prior art, and provide a blind restoration method of high-energy X-ray images

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