JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
A Novel Approach to Enhance Dual-Energy X-Ray Images Using Region of Interest and Discrete Wavelet Transform |
| 영문제목(English Title) |
A Novel Approach to Enhance Dual-Energy X-Ray Images Using Region of Interest and Discrete Wavelet Transform |
| 저자(Author) |
Burhan Ullah
Aurangzeb Khan
Muhammad Fahad
Mahmood Alam
Allah Noor
Umar Saleem
Muhammad Kamran
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| 원문수록처(Citation) |
VOL 18 NO. 03 PP. 0319 ~ 0331 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English 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. |
| 키워드(Keyword) |
: Background Noise
Discrete Wavelet Transform
Dual Energy X-Ray Pictures
Image Fusion
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| 파일첨부 |
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