This paper proposes a novel correlated shrinkage method based on wavelet joint statistics. Our objective is to demonstrate effectiveness of the wavelet correlation models [Z. Azimifar et al., 2004] in estimating the original signal from a noising observation. Simulation results are given to show the advantage of the new correlated shrinkage function. In comparison with the popular nonlinear shrinkage algorithms, it improves the denoised results.
Correlated wavelet shrinkage: models of local random fields across multiple resolutions
IEEE International Conference on Image Processing 2005 ; 3 ; III-157
2005-01-01
919374 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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