DocumentCode
1713767
Title
Image filtering and denoising through the scale transform
Author
Cristbal, G. ; Cuesta, J. ; Cohen, L.
Author_Institution
Inst. de Opt., CSIC, Madrid, Spain
fYear
1998
Firstpage
617
Lastpage
620
Abstract
The scale transform has been proposed and applied to 1-D signals in applications such as speech processing, biological signals and machine vibration analysis. This paper describes some results of the scale transform use in some practical applications, in particular for image denoising. Our preliminary work indicates that under many circumstances denoising in the scale domain appears more effective than in the Fourier domain
Keywords
filtering theory; image processing; noise; transforms; 1-D signals; Fourier domain; Mellin transform; biological signals; image denoising; image filtering; machine vibration analysis; scale domain; scale transform; speech processing; Band pass filters; Biomedical optical imaging; Educational institutions; Filtering; Fourier transforms; Frequency; Low pass filters; Noise reduction; Optical filters; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location
Pittsburgh, PA
Print_ISBN
0-7803-5073-1
Type
conf
DOI
10.1109/TFSA.1998.721500
Filename
721500
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