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
컬러 영상에서 충동성 노이즈를 제거하기 위한 새로운 유형의 디지털 필터가 대화형 진화 컴퓨팅을 사용하여 제안됩니다. 이 필터는 중앙값 필터 전환을 포함하는 규칙 기반 시스템으로 구현됩니다. 이 필터는 규칙을 사용하여 컬러 이미지에서 충동적인 노이즈를 감지하고 노이즈가 있는 픽셀에만 전환 중앙값 필터를 적용합니다. 인간의 시각에 의한 주관적 평가를 고려하여 필터 매개변수를 최적화하기 위해 IEC(Interactive Evolutionary Computing)가 채택되었습니다. 충격성 잡음을 정확하게 감지하려면 여러 매개변수를 가진 복잡한 규칙이 필요합니다. 여기서는 색상 성분 간의 관계와 픽셀 값의 특이성 정도를 규칙에 활용합니다. 일반적으로 이러한 복잡한 규칙 기반 시스템의 최적화는 어려운데, IEC는 이러한 최적화를 쉽게 가능하게 합니다. 또한 필터 성능에는 인간의 취향과 주관적인 감각이 매우 중요하게 고려됩니다. 고성능을 검증하기 위해 노이즈가 있는 이미지에 대한 컴퓨터 시뮬레이션이 표시됩니다.
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부
Yohei KATSUYAMA, Kaoru ARAKAWA, "Impulsive Noise Removal in Color Image Using Interactive Evolutionary Computing" in IEICE TRANSACTIONS on Fundamentals,
vol. E93-A, no. 11, pp. 2184-2192, November 2010, doi: 10.1587/transfun.E93.A.2184.
Abstract: A new type of digital filter for removing impulsive noise in color images is proposed using interactive evolutionary computing. This filter is realized as a rule-based system containing switching median filters. This filter detects impulsive noise in color images with rules and applies switching median filters only at the noisy pixel. Interactive evolutionary computing (IEC) is adopted to optimize the filter parameters, considering the subjective assessment by human vision. In order to detect impulsive noise precisely, complicated rules with multiple parameters are required. Here, the relationship between color components and the degree of peculiarity of the pixel value are utilized in the rules. Usually, optimization of such a complicated rule-based system is difficult, but IEC enables such optimization easily. Moreover, human taste and subjective sense are highly considered in the filter performance. Computer simulations are shown for noisy images to verify its high performance.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E93.A.2184/_p
부
@ARTICLE{e93-a_11_2184,
author={Yohei KATSUYAMA, Kaoru ARAKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Impulsive Noise Removal in Color Image Using Interactive Evolutionary Computing},
year={2010},
volume={E93-A},
number={11},
pages={2184-2192},
abstract={A new type of digital filter for removing impulsive noise in color images is proposed using interactive evolutionary computing. This filter is realized as a rule-based system containing switching median filters. This filter detects impulsive noise in color images with rules and applies switching median filters only at the noisy pixel. Interactive evolutionary computing (IEC) is adopted to optimize the filter parameters, considering the subjective assessment by human vision. In order to detect impulsive noise precisely, complicated rules with multiple parameters are required. Here, the relationship between color components and the degree of peculiarity of the pixel value are utilized in the rules. Usually, optimization of such a complicated rule-based system is difficult, but IEC enables such optimization easily. Moreover, human taste and subjective sense are highly considered in the filter performance. Computer simulations are shown for noisy images to verify its high performance.},
keywords={},
doi={10.1587/transfun.E93.A.2184},
ISSN={1745-1337},
month={November},}
부
TY - JOUR
TI - Impulsive Noise Removal in Color Image Using Interactive Evolutionary Computing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2184
EP - 2192
AU - Yohei KATSUYAMA
AU - Kaoru ARAKAWA
PY - 2010
DO - 10.1587/transfun.E93.A.2184
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E93-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2010
AB - A new type of digital filter for removing impulsive noise in color images is proposed using interactive evolutionary computing. This filter is realized as a rule-based system containing switching median filters. This filter detects impulsive noise in color images with rules and applies switching median filters only at the noisy pixel. Interactive evolutionary computing (IEC) is adopted to optimize the filter parameters, considering the subjective assessment by human vision. In order to detect impulsive noise precisely, complicated rules with multiple parameters are required. Here, the relationship between color components and the degree of peculiarity of the pixel value are utilized in the rules. Usually, optimization of such a complicated rule-based system is difficult, but IEC enables such optimization easily. Moreover, human taste and subjective sense are highly considered in the filter performance. Computer simulations are shown for noisy images to verify its high performance.
ER -