Image denoising using adaptive subband decomposition
IEEE International Conference on Image Processing
261 - 264
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27624
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.