Application of wavelet-transformation for soft image processing

Abstract

The main difference between a wavelet-transform (WT) and a Fourier transform is a more informative representation of time-, frequency-, scale- and time-properties of an image. The capacity of a WT of image analysis performing with equal scales is often compared with a mathematical microscope. The WT can successfully be applied to the problem of solving image processing although it is still insufficiently widely known for this purpose.