The major task of imaging systems used in non-destructive testing is detection of defects (flaws, holes) echoes and evaluation or their dimensions and position. Images generated by direct imaging are poor quality due to diffraction, coherent echoes, limited capabilities of system, white noise. So acoustic images and optic images are very different. Solving these problems, numerical methods are used for signal processing and analysis. An application for ultrasonic signal processing of wavelet transformations was investigated in the work. The investigation was signals distortion type and level when wavelets transformation may give effective results. The investigation was performed using modeling and signal processing of the experimental signals.

Šiame darbe pateikiama trumpa efektyvaus vaizdų kodavimo metodų ir požiūrių apžvalga. Susipažįstama su diskrečiosiomis (Haaro, Daubechies) bangelių transformacijomis bei įvertinamos jų specifinės savybės: diskretaus bangelių spektro koeficiento sąsaja su vaizdo fragmentu, nulinių medžių egzistavimas spektre. Darbo tikslas – įvertinus diskrečiųjų bangelių transformacijos savybes, algoritmizuoti, realizuoti ir ištirti vieną perspektyviausių progresyviojo skaitmeninių vaizdų kodavimo algoritmų EZW (Embedded-Zerotree-Wavelet). / This paper discusses specific properties of the discrete orthogonal wavelet transform, namely: relationships between the wavelet coefficients and image fragments, existence of zerotrees in the discrete wavelet spectrum of an image, etc. In parallels, the progressive image encoding idea and an efficient image encoding/decoding algorithm EZW (Embedded-Zerotree-Wavelet), based on the discrete wavelet (Haar, Daubechies) transform, are presented. Some preliminary experimental analysis results are discussed.