DocumentCode
1692568
Title
Image denoising using adaptive subband decomposition
Author
Gezici, Sinan ; Yilmaz, Ismail ; Gerek, Omer N. ; Cetin, Ediz
Author_Institution
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
261
Abstract
We present a new image denoising method based on adaptive subband decomposition (or adaptive wavelet transform) in which the filter coefficients are updated according to a least mean square (LMS) type algorithm. Adaptive subband decomposition filter banks have the perfect reconstruction property. Since the adaptive filter bank adjusts itself to the changing input environment, denoising is more effective compared to fixed filter banks. Simulation examples are presented
Keywords
adaptive filters; channel bank filters; image reconstruction; interference suppression; least mean squares methods; wavelet transforms; adaptive filter banks; adaptive subband decomposition; adaptive wavelet transform; image denoising; least mean square algorithm; perfect reconstruction; Adaptive filters; Channel bank filters; Decorrelation; Filter bank; Image denoising; Image edge detection; Image reconstruction; Least squares approximation; Noise reduction; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.959003
Filename
959003
Link To Document