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
본 논문에서는 지역 통계를 이용한 공간 적응형 잡음 제거 알고리즘을 제안한다. 제안하는 알고리즘은 노이즈 검출과 제거의 두 단계로 구성된다. 효과적인 노이즈 억제와 재구성된 이미지의 과도한 부드러움 사이의 균형을 해결하기 위해 로컬 최대값 및 로컬 가중 활동과 같은 로컬 통계가 정의됩니다. 로컬 통계를 사용하여 노이즈 감지 기능을 정의하고 수정된 가우시안 필터를 사용하여 감지된 노이즈 구성 요소를 억제합니다. 실험 결과는 제안된 알고리즘의 효율성을 입증합니다.
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부
Tuan-Anh NGUYEN, Won-Seon SONG, Min-Cheol HONG, "Spatially Adaptive Noise Removal Algorithm Using Local Statistics" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 1, pp. 452-456, January 2011, doi: 10.1587/transfun.E94.A.452.
Abstract: In this letter, we propose a spatially adaptive noise removal algorithm using local statistics. The proposed algorithm consists of two stages: noise detection and removal. In order to solve the trade-off between the effective noise suppression and the over-smoothness of the reconstructed image, local statistics such as local maximum and the local weighted activity is defined. With the local statistics, the noise detection function is defined and a modified Gaussian filter is used to suppress the detected noise components. The experimental results demonstrate the effectiveness of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.452/_p
부
@ARTICLE{e94-a_1_452,
author={Tuan-Anh NGUYEN, Won-Seon SONG, Min-Cheol HONG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Spatially Adaptive Noise Removal Algorithm Using Local Statistics},
year={2011},
volume={E94-A},
number={1},
pages={452-456},
abstract={In this letter, we propose a spatially adaptive noise removal algorithm using local statistics. The proposed algorithm consists of two stages: noise detection and removal. In order to solve the trade-off between the effective noise suppression and the over-smoothness of the reconstructed image, local statistics such as local maximum and the local weighted activity is defined. With the local statistics, the noise detection function is defined and a modified Gaussian filter is used to suppress the detected noise components. The experimental results demonstrate the effectiveness of the proposed algorithm.},
keywords={},
doi={10.1587/transfun.E94.A.452},
ISSN={1745-1337},
month={January},}
부
TY - JOUR
TI - Spatially Adaptive Noise Removal Algorithm Using Local Statistics
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 452
EP - 456
AU - Tuan-Anh NGUYEN
AU - Won-Seon SONG
AU - Min-Cheol HONG
PY - 2011
DO - 10.1587/transfun.E94.A.452
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2011
AB - In this letter, we propose a spatially adaptive noise removal algorithm using local statistics. The proposed algorithm consists of two stages: noise detection and removal. In order to solve the trade-off between the effective noise suppression and the over-smoothness of the reconstructed image, local statistics such as local maximum and the local weighted activity is defined. With the local statistics, the noise detection function is defined and a modified Gaussian filter is used to suppress the detected noise components. The experimental results demonstrate the effectiveness of the proposed algorithm.
ER -