Nonlinear shrinkage estimation with complex Daubechies wavelets

Jean-Marc Lina; Brenda MacGibbon

doi:10.1117/12.279680

30 October 1997 Nonlinear shrinkage estimation with complex Daubechies wavelets

Jean-Marc Lina, Brenda MacGibbon

Author Affiliations +

Proceedings Volume 3169, Wavelet Applications in Signal and Image Processing V; (1997) https://doi.org/10.1117/12.279680
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

One of the main advantages of the discrete wavelet representation is the near-optimal estimation of signals corrupted with noise. After the seminal work of De Vore and Lucier (1992) and Donoho and Johnstone (1995), new techniques for choosing appropriate threshold and/or shrinkage functions have recently been explored by Bayesian and likelihood methods. This work is motivated by a Bayesian approach and is based on the complex representation of signals by the Symmetric Daubechies Wavelets. Applications for two dimensional signals are discussed.

Citation Download Citation

Jean-Marc Lina, Jean-Marc Lina, Brenda MacGibbon, Brenda MacGibbon, } "Nonlinear shrinkage estimation with complex Daubechies wavelets", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); doi: 10.1117/12.279680; https://doi.org/10.1117/12.279680

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