Aiming at the shortcomings of uneven image color and prominent noise in the default image display effect of existing dual-energy X-ray security inspection equipment, the corresponding improvement method is studied. Firstly, the improved Non-Local Means filter (hereinafter referred to as improved NLMeans) is used to perform adaptive smoothing on the original high and lowenergy images to obtain the corresponding material characteristic images. Furthermore, the improved NL-Means filter is used again to smooth the material characteristic images, so as to improve the phenomena of uneven image color and prominent noise points. However, this filtering method has a serious problem of low real-time efficiency, making it difficult to apply in engineering. This paper studies three acceleration methods. The first one is to selectively implement the improved NL-Means filter from the perspective of the image itself; the second one is to reasonably reduce the number of structural operations based on the principle and structure of the algorithm; the third one is to convert the floating-point exponential operation into a look-up table operation from the perspective of engineering practice. The experimental results show that the proposed method effectively improves the default image display effect of the security inspection equipment, which plays a very positive role not only in the security inspectors’ interpretation of images but also in improving the performance indicators of the equipment.
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