A Novel Approach to Enhance Dual-Energy X-Ray Images Using Region of Interest and Discrete Wavelet Transform


Burhan Ullah, Aurangzeb Khan, Muhammad Fahad, Mahmood Alam, Allah Noor, Umar Saleem, and Muhammad Kamran, Journal of Information Processing Systems Vol. 18, No. 3, pp. 319-331, Jun. 2022  

10.3745/JIPS.01.0086
Keywords: Background Noise, Discrete wavelet transform, Dual Energy X-Ray Pictures, Image fusion
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Abstract

The capability to examine an X-ray image is so far a challenging task. In this work, we suggest a practical and novel 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 of bags and baggage is “X-ray”; however, the results of the incumbent technology used show blurred and low contrast level images. This paper aims to improve the quality of X-ray images for a clearer vision of illegitimate or volatile substances. A dataset of 40 images was taken for the experiment, but for clarity, the results of only 13 images have been shown. The results were evaluated using MSE and PSNR metrics, where the average PSNR value of the proposed system compared to single X-ray images was increased by 19.3%, and the MSE value decreased by 17.3%. The results show that the proposed framework will help discern threats and the entire scanning process.


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Cite this article
[APA Style]
Burhan Ullah, Aurangzeb Khan, Muhammad Fahad, Mahmood Alam, Allah Noor, Umar Saleem, & and Muhammad Kamran (2022). A Novel Approach to Enhance Dual-Energy X-Ray Images Using Region of Interest and Discrete Wavelet Transform. Journal of Information Processing Systems, 18(3), 319-331. DOI: 10.3745/JIPS.01.0086.

[IEEE Style]
B. Ullah, A. Khan, M. Fahad, M. Alam, A. Noor, U. Saleem and a. M. Kamran, "A Novel Approach to Enhance Dual-Energy X-Ray Images Using Region of Interest and Discrete Wavelet Transform," Journal of Information Processing Systems, vol. 18, no. 3, pp. 319-331, 2022. DOI: 10.3745/JIPS.01.0086.

[ACM Style]
Burhan Ullah, Aurangzeb Khan, Muhammad Fahad, Mahmood Alam, Allah Noor, Umar Saleem, and and Muhammad Kamran. 2022. A Novel Approach to Enhance Dual-Energy X-Ray Images Using Region of Interest and Discrete Wavelet Transform. Journal of Information Processing Systems, 18, 3, (2022), 319-331. DOI: 10.3745/JIPS.01.0086.