Title :
An empirical wavelet estimator for image denoising
Author_Institution :
Univ. de Paris-Sud, Orsay, France
Abstract :
Most of the existing works concerning wavelet methods for 1D signal denoising are based on hard or soft thresholding estimators. However, their application to image denoising does not always lead to satisfactory results. In this work, we present a new nonlinear estimation method whose characteristics are adapted to the statistics of the image under study.
Keywords :
adaptive signal processing; estimation theory; image enhancement; statistical analysis; wavelet transforms; empirical wavelet estimator; image denoising; nonlinear estimation method; statistics; Additive noise; Bayesian methods; Gaussian noise; Image denoising; Minimax techniques; Noise reduction; Noise robustness; Satellites; Statistics; Wavelet packets;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680035
