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Improved Wavelet Shrinkage Using Morphological Clustering Filter

Jinsung OH

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Summary :

To classify the significant wavelet coefficients into edge area and noise area, a morphological clustering filter applied to wavelet shrinkage is introduced. New methods for wavelet shrinkage using morphological clustering filter are used in noise removal, and the performance is evaluated under various noise conditions.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.8 pp.1962-1965
Publication Date
2002/08/01
Publicized
Online ISSN
DOI
Type of Manuscript
LETTER
Category
Digital Signal Processing

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