Image denoising using adaptive subband decomposition
Gerek, Ö. N.
Çetin, A. Enis
Proceedings of the International Conference on Image Processing, IEEE 2001
261 - 264
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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.
Adaptive subband decomposition
Least mean square