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Burhan Ullah,Aurangzeb Khan,Muhammad Fahad,Mahmood Alam,Allah Noor,Umar Saleem,Muhammad Kamran 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.3
The capability to examine an X-ray image is so far a challenging task. In this work, we suggest a practical andnovel algorithm based on image fusion to inspect the issues such as background noise, blurriness, or sharpness,which curbs the quality of dual-energy X-ray images. The current technology exercised for the examination ofbags and baggage is “X-ray”; however, the results of the incumbent technology used show blurred and lowcontrast level images. This paper aims to improve the quality of X-ray images for a clearer vision of illegitimateor volatile substances. A dataset of 40 images was taken for the experiment, but for clarity, the results of only13 images have been shown. The results were evaluated using MSE and PSNR metrics, where the averagePSNR value of the proposed system compared to single X-ray images was increased by 19.3%, and the MSEvalue decreased by 17.3%. The results show that the proposed framework will help discern threats and theentire scanning process.