IEICE TRANSACTIONS on Fundamentals
Impulsive Noise Removal in Color Image Using Interactive Evolutionary Computing
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E93-A No.11 pp.2184-2192
- Publication Date
- 2010/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E93.A.2184
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
Authors
Keyword
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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
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@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},}
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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 -
English
