Parallel Algorithms for Bitmap Image Processing Based on Daubechies Wavelets

This paper is devoted to the research of bitmap image processing based on wavelet functions. The Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for image processing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in image processing problems.