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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Um filtro passa-banda bilateral é uma variante melhorada de um filtro bilateral que não possui características passa-baixa, mas possui características passa-faixa. Infelizmente, o seu tempo de cálculo é relativamente grande, uma vez que todos os pixels são submetidos ao cálculo gaussiano. Para resolver este problema, prestamos atenção a um filtro não linear chamado filtro ε e propomos um filtro ε avançado rotulado como filtro ε passa-faixa. Como o filtro ε possui características passa-baixas devido à filtragem espacial, ele não melhora o contraste da imagem. Por outro lado, o filtro ε passa-banda não possui características passa-baixa, mas possui características passa-banda para melhorar o contraste da imagem em torno das bordas, ao contrário do filtro ε. O filtro funciona não apenas como filtro de redução de ruído, mas também como filtro de detecção de bordas, dependendo da configuração do filtro. Devido ao seu design simples, o custo de cálculo é relativamente pequeno em comparação com o filtro passa-faixa bilateral. Para mostrar a eficácia do método proposto, relatamos os resultados de alguns experimentos de comparação sobre as características do filtro e custo computacional.
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Mitsuharu MATSUMOTO, "Band-Pass ε-Filter for Edge Enhancement and Noise Removal" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 2, pp. 367-375, February 2010, doi: 10.1587/transinf.E93.D.367.
Abstract: A band-pass bilateral filter is an improved variant of a bilateral filter that does not have low-pass characteristics but has band-pass characteristics. Unfortunately, its computation time is relatively large since all pixels are subjected to Gaussian calculation. To solve this problem, we pay attention to a nonlinear filter called ε-filter and propose an advanced ε-filter labeled band-pass ε-filter. As ε-filter has low-pass characteristics due to spatial filtering, it does not enhance the image contrast. On the other hand, band-pass ε-filter does not have low-pass characteristics but has band-pass characteristics to enhance the image contrast around edges unlike ε-filter. The filter works not only as a noise reduction filter but also as an edge detection filter depending on the filter setting. Due to its simple design, the calculation cost is relatively small compared to the band-pass bilateral filter. To show the effectiveness of the proposed method, we report the results of some comparison experiments on the filter characteristics and computational cost.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.367/_p
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@ARTICLE{e93-d_2_367,
author={Mitsuharu MATSUMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Band-Pass ε-Filter for Edge Enhancement and Noise Removal},
year={2010},
volume={E93-D},
number={2},
pages={367-375},
abstract={A band-pass bilateral filter is an improved variant of a bilateral filter that does not have low-pass characteristics but has band-pass characteristics. Unfortunately, its computation time is relatively large since all pixels are subjected to Gaussian calculation. To solve this problem, we pay attention to a nonlinear filter called ε-filter and propose an advanced ε-filter labeled band-pass ε-filter. As ε-filter has low-pass characteristics due to spatial filtering, it does not enhance the image contrast. On the other hand, band-pass ε-filter does not have low-pass characteristics but has band-pass characteristics to enhance the image contrast around edges unlike ε-filter. The filter works not only as a noise reduction filter but also as an edge detection filter depending on the filter setting. Due to its simple design, the calculation cost is relatively small compared to the band-pass bilateral filter. To show the effectiveness of the proposed method, we report the results of some comparison experiments on the filter characteristics and computational cost.},
keywords={},
doi={10.1587/transinf.E93.D.367},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - Band-Pass ε-Filter for Edge Enhancement and Noise Removal
T2 - IEICE TRANSACTIONS on Information
SP - 367
EP - 375
AU - Mitsuharu MATSUMOTO
PY - 2010
DO - 10.1587/transinf.E93.D.367
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2010
AB - A band-pass bilateral filter is an improved variant of a bilateral filter that does not have low-pass characteristics but has band-pass characteristics. Unfortunately, its computation time is relatively large since all pixels are subjected to Gaussian calculation. To solve this problem, we pay attention to a nonlinear filter called ε-filter and propose an advanced ε-filter labeled band-pass ε-filter. As ε-filter has low-pass characteristics due to spatial filtering, it does not enhance the image contrast. On the other hand, band-pass ε-filter does not have low-pass characteristics but has band-pass characteristics to enhance the image contrast around edges unlike ε-filter. The filter works not only as a noise reduction filter but also as an edge detection filter depending on the filter setting. Due to its simple design, the calculation cost is relatively small compared to the band-pass bilateral filter. To show the effectiveness of the proposed method, we report the results of some comparison experiments on the filter characteristics and computational cost.
ER -