Image denoising using adaptive subband decomposition

In this paper, 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 an Least Mean Square (LMS) type algorithm. Adaptive subband decomposition filter banks have the perfect reconstruction property. Since the adaptive filterbank adjusts itself to the changing input environments denoising is more effective compared to fixed filterbanks. Simulation examples are presented.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Ömer Nezih Gerek, A. Enis Çetin, Ismail Yilmaz, Sinan Gezici
• Keywords: Adaptive Subband Decomposition, Adaptive Wavelet Transform, Decomposition Filter Banks, ICIP 2001, Image Processing