Title :
Application of wavelet-transformation for soft image processing
Author_Institution :
Tomsk State Univ. of Control Syst. & Radioelectron.
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
Keywords :
image processing; wavelet transforms; Fourier transform; frequency-properties; image analysis; scale- properties; soft image processing; time-properties; wavelet-transform; wavelet-transformation; Brightness; Discrete wavelet transforms; Energy measurement; Filters; Histograms; Image processing; Low-frequency noise; Pixel; Power measurement; Time measurement;
Conference_Titel :
Modern Techniques and Technology, 2000. MTT 2000. Proceedings of the VI International Scientific and Practical Conference of Students, Post-graduates and Young Scientists
Conference_Location :
Tomsk
Print_ISBN :
0-7803-5789-2
DOI :
10.1109/SPCMTT.2000.896073
