Yuliang Sun;Kai Li;Pingyi Tian;Qin Shi;SanQiang Yu;Shanyong Yang;Xinqiang Liu;Guang Yang
{"title":"基于小波分析和帧间交错图像融合算法的电磁信息泄漏重建方法","authors":"Yuliang Sun;Kai Li;Pingyi Tian;Qin Shi;SanQiang Yu;Shanyong Yang;Xinqiang Liu;Guang Yang","doi":"10.1109/TEMC.2025.3557975","DOIUrl":null,"url":null,"abstract":"Aiming at the fuzzy problem of the image restored by the electromagnetic leakage signal of the display, this article proposes a restoration method of electromagnetic leakage information based on the fusion of wavelet analysis and interframe interleaved image fusion algorithm. Based on the principle of multi-frame average denoizing method, it makes use of the characteristics that the display depends on the periodic repetition of different video frames when displaying image information. Successive frames are superimposed to achieve image enhancement, which effectively reduces the influence of environmental noise. At the same time, the fusion of one-dimensional wavelet transform technology further improves the quality of image reconstruction. The experimental results show that, compared with the direct image reconstruction, the image signal-to-noise ratio, contrast ratio and acuteness of the fusion algorithm using wavelet analysis and frequency domain hierarchical image reconstruction are improved by 79.7%, 15.9%, and 47.8%, respectively. The algorithm has significant application value in the field of electromagnetic leakage signal recovery and signal processing.","PeriodicalId":55012,"journal":{"name":"IEEE Transactions on Electromagnetic Compatibility","volume":"67 3","pages":"751-760"},"PeriodicalIF":2.5000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Method for EM Information Leakage Reconstruction Based on Wavelet Analysis and Interframe Interleaved Image Fusion Algorithm\",\"authors\":\"Yuliang Sun;Kai Li;Pingyi Tian;Qin Shi;SanQiang Yu;Shanyong Yang;Xinqiang Liu;Guang Yang\",\"doi\":\"10.1109/TEMC.2025.3557975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the fuzzy problem of the image restored by the electromagnetic leakage signal of the display, this article proposes a restoration method of electromagnetic leakage information based on the fusion of wavelet analysis and interframe interleaved image fusion algorithm. Based on the principle of multi-frame average denoizing method, it makes use of the characteristics that the display depends on the periodic repetition of different video frames when displaying image information. Successive frames are superimposed to achieve image enhancement, which effectively reduces the influence of environmental noise. At the same time, the fusion of one-dimensional wavelet transform technology further improves the quality of image reconstruction. The experimental results show that, compared with the direct image reconstruction, the image signal-to-noise ratio, contrast ratio and acuteness of the fusion algorithm using wavelet analysis and frequency domain hierarchical image reconstruction are improved by 79.7%, 15.9%, and 47.8%, respectively. The algorithm has significant application value in the field of electromagnetic leakage signal recovery and signal processing.\",\"PeriodicalId\":55012,\"journal\":{\"name\":\"IEEE Transactions on Electromagnetic Compatibility\",\"volume\":\"67 3\",\"pages\":\"751-760\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Electromagnetic Compatibility\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10986767/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Electromagnetic Compatibility","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10986767/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Method for EM Information Leakage Reconstruction Based on Wavelet Analysis and Interframe Interleaved Image Fusion Algorithm
Aiming at the fuzzy problem of the image restored by the electromagnetic leakage signal of the display, this article proposes a restoration method of electromagnetic leakage information based on the fusion of wavelet analysis and interframe interleaved image fusion algorithm. Based on the principle of multi-frame average denoizing method, it makes use of the characteristics that the display depends on the periodic repetition of different video frames when displaying image information. Successive frames are superimposed to achieve image enhancement, which effectively reduces the influence of environmental noise. At the same time, the fusion of one-dimensional wavelet transform technology further improves the quality of image reconstruction. The experimental results show that, compared with the direct image reconstruction, the image signal-to-noise ratio, contrast ratio and acuteness of the fusion algorithm using wavelet analysis and frequency domain hierarchical image reconstruction are improved by 79.7%, 15.9%, and 47.8%, respectively. The algorithm has significant application value in the field of electromagnetic leakage signal recovery and signal processing.
期刊介绍:
IEEE Transactions on Electromagnetic Compatibility publishes original and significant contributions related to all disciplines of electromagnetic compatibility (EMC) and relevant methods to predict, assess and prevent electromagnetic interference (EMI) and increase device/product immunity. The scope of the publication includes, but is not limited to Electromagnetic Environments; Interference Control; EMC and EMI Modeling; High Power Electromagnetics; EMC Standards, Methods of EMC Measurements; Computational Electromagnetics and Signal and Power Integrity, as applied or directly related to Electromagnetic Compatibility problems; Transmission Lines; Electrostatic Discharge and Lightning Effects; EMC in Wireless and Optical Technologies; EMC in Printed Circuit Board and System Design.