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A Wiener Filter Improvement Combining Wavelet Domains
Mantova, Italy September 17-September 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2003.123410212th International Conference on Imag ...
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V. Bruni, Istituto per le Applicazioni del Calcolo "M. Picone"
D. Vitulano, Istituto per le Applicazioni del Calcolo "M. Picone"
In this paper an improvement of an interesting approach for denoising in wavelet domain using an empirical Wiener filter [1] is presented. It is based on a well-balanced matching of selection and attenuation performances using more than one wavelet basis. Experimental results are better than other Wavelet-Wiener based techniques both in terms of objective (Signal to Noise Ratio (SNR)) and subjective quality requiring a moderate computing time.
Index Terms:
Signal and Image Denoising, Wiener Filter, Wavelet Transform, Hard-Thresholding
Citation:
V. Bruni, D. Vitulano, "A Wiener Filter Improvement Combining Wavelet Domains," iciap, pp.518, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003
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