EFFICIENCY OF WAVELET ANALYSIS FOR RESTORATION OF XRAY IMAGES: A COMPARATIVE STUDY

Abstract

The article examines the application of various wavelet transforms for X-ray image processing aimed at improving the quality of medical diagnostics. A comparative analysis using the MSE, PSNR, and SSIM metrics was performed to assess the quality of image restoration. The obtained results demonstrate the effectiveness of specific wavelet families in enhancing image visualization and increasing the accuracy of anomaly detection. The presented research contributes to the advancement of medical image processing methods intended for the optimization of diagnostic procedures.