Image denoising using adaptive subband decomposition

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.