Mathematical methods of data processing for high-energy introscopic examination of large-scale objects

Optimized high-energy systems for introscopic examination of large-scale objects are considered. Advanced methods of mathematical data treatment for non-linear detector correction, image reconstruction and noise suppression based on the synthetic point spread function and continuous wavelet transformation are given. Experimental results for real, full-scale complexes are shown.