In this paper, a new lifting wavelet domain audio watermarking algorithm based on the statistical characteristics of sub-band coefficients is proposed. First of all, an original audio signal was segmented and each segment was divided into two sections. Then, the Barker code was used for synchronization, the LWT (lifting wavelet transform) was performed on each section, a synchronization code and a watermark were embedded into the first section and the second section, respectively, by modifying the statistical average value of the sub-band coefficients. The embed strength was determined adaptively according to the auditory masking property. Experiments show that the embedded watermark has better robustness against common signal processing attacks than present algorithms based on LWT and can resist random cropping in particular.

Diagnosis and therapy of human diseases is often associated with an analysis of the geometry of internal organs or their pathological conditions. That is why the problem of accuracy assessment of shape mapping using computer tomography and the latest imaging techniques became very important. Therefore, in the paper the accuracy assessment of mapping was proposed using the real shape of the synthetic indices. Two test cases were presented - a reference sphere and the cartilage surface of the knee condyle. The results of tomography research and analysis of accuracy of shape mapping using the "best fit" method and the program Reshaper, in the form of synthetic indicators are presented.