Aplikace waveletové transformace v digitálním zpracování obrazu

Abstract

This thesis deals with different applications of wavelet transform in digital image processing. Wavelet representation of the signal is a new technique which replaced the Fourier transform in many areas. We focused on techniques of image denoising, image enhancement - especially for medical images. Further we apply wavelet transform to edge detection which is the base for pattern recognition in image and also to image compression. Individual applications were implemented with different wavelets in MATLAB. Wavelets are compared each other because the selection of wavelet basis greatly affects the result of image processing.