The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Para classificar os coeficientes wavelet significativos em área de borda e área de ruído, é introduzido um filtro de agrupamento morfológico aplicado à contração wavelet. Novos métodos para encolhimento wavelet usando filtro de agrupamento morfológico são usados na remoção de ruído, e o desempenho é avaliado sob diversas condições de ruído.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Jinsung OH, "Improved Wavelet Shrinkage Using Morphological Clustering Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 8, pp. 1962-1965, August 2002, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_8_1962/_p
Copiar
@ARTICLE{e85-a_8_1962,
author={Jinsung OH, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Improved Wavelet Shrinkage Using Morphological Clustering Filter},
year={2002},
volume={E85-A},
number={8},
pages={1962-1965},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={August},}
Copiar
TY - JOUR
TI - Improved Wavelet Shrinkage Using Morphological Clustering Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1962
EP - 1965
AU - Jinsung OH
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2002
AB - 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.
ER -