Composite material terahertz imaging resolution enhancement method and device, equipment and medium

Abstract

The invention provides a composite material terahertz imaging resolution enhancement method and device and equipment and a medium. The method comprises the steps: carrying out the imaging detection of a detected composite material through a terahertz imaging system, and obtaining a first one-dimensional range profile of the detected composite material; denoising the first one-dimensional distance image to obtain a denoised second one-dimensional distance image; respectively taking the second one-dimensional distance image and the detail-enhanced second one-dimensional distance image as a first guide image and a second guide image, and respectively carrying out guide filtering on the second one-dimensional distance image to respectively obtain a detail layer and a base layer; performing first gain and second gain on the details and the base layer respectively, and superposing the detail layer subjected to the first gain and the base layer subjected to the second gain into a third one-dimensional distance image; and performing amplitude imaging on the third one-dimensional range profile to obtain an imaged result image. According to the method provided by the embodiment of the invention, the detail information such as the edge of the image can be enhanced while the background noise is effectively suppressed.

Description

technical field [0001] The present application relates to the technical field of terahertz imaging enhancement of composite materials, in particular, to a method, device, equipment and medium for enhancing the resolution of terahertz imaging of composite materials. Background technique [0002] Terahertz imaging inspection technology has the advantage of high transparency. When inspecting composite materials, it is easier to detect defects inside composite materials than other traditional inspection technologies, and it can be imaged without contacting the tested material. . The photon energy of terahertz waves is on the order of millielectronvolts, and it will not cause structural damage to the tested material during terahertz imaging detection, nor will it produce harmful radiation to biological tissues. However, when applying this technology, terahertz waves will be affected by experimental environmental noise (water vapor, air molecule motion and energy level absorption...

AI Technical Summary

Problems solved by technology

Among them, mean filtering can effectively suppress Gaussian noise, but it will blur the image details such as edges; Gaussian filtering has a good effect on removing speckle noise in the image, but it will cause certain damage to the edge and texture details of the image. ; Although non-local mean filtering can preserve image detail information, it cannot adaptively adjust filter parameters, which will cause artifacts in the image; Laplacian-Gaussian edge detection is more sensitive to noise, and will enhance edges and details while Image noise and background information are enhanced together, making it impossible to obtain clear and high-resolution images

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