DocumentCode
2786740
Title
Application of wavelet-transformation for soft image processing
Author
Shakirov, I.V.
Author_Institution
Tomsk State Univ. of Control Syst. & Radioelectron.
fYear
2000
fDate
2000
Firstpage
116
Lastpage
118
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SPCMTT.2000.896073
Filename
896073
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