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.