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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959003
