A fuzzy-based impulse noise detection and cancellation for real-time processing in video receivers

Chung Bin Wu, Bin Da Liu, Jar Ferr Yang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, a simple fuzzy-based algorithm to remove the impulse noise from images is proposed. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters effectively remove the impulse noise.

Original languageEnglish
Pages (from-to)780-784
Number of pages5
JournalIEEE Transactions on Instrumentation and Measurement
Volume52
Issue number3
DOIs
Publication statusPublished - 2003 Jun 1

Fingerprint

Impulse noise
cancellation
impulses
receivers
Processing
Computational complexity
filters
simulation

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

@article{a01837ea45c74a85a4be1829c3ee6630,
title = "A fuzzy-based impulse noise detection and cancellation for real-time processing in video receivers",
abstract = "In this paper, a simple fuzzy-based algorithm to remove the impulse noise from images is proposed. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters effectively remove the impulse noise.",
author = "Wu, {Chung Bin} and Liu, {Bin Da} and Yang, {Jar Ferr}",
year = "2003",
month = "6",
day = "1",
doi = "10.1109/TIM.2003.814677",
language = "English",
volume = "52",
pages = "780--784",
journal = "IEEE Transactions on Instrumentation and Measurement",
issn = "0018-9456",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

A fuzzy-based impulse noise detection and cancellation for real-time processing in video receivers. / Wu, Chung Bin; Liu, Bin Da; Yang, Jar Ferr.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 3, 01.06.2003, p. 780-784.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A fuzzy-based impulse noise detection and cancellation for real-time processing in video receivers

AU - Wu, Chung Bin

AU - Liu, Bin Da

AU - Yang, Jar Ferr

PY - 2003/6/1

Y1 - 2003/6/1

N2 - In this paper, a simple fuzzy-based algorithm to remove the impulse noise from images is proposed. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters effectively remove the impulse noise.

AB - In this paper, a simple fuzzy-based algorithm to remove the impulse noise from images is proposed. To achieve real-time applications, the proposed filter architecture, which combines fuzzy noise detection and noise filtering, is also designed. With low computational complexity, simulation results show that the proposed filters effectively remove the impulse noise.

UR - http://www.scopus.com/inward/record.url?scp=0042092121&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0042092121&partnerID=8YFLogxK

U2 - 10.1109/TIM.2003.814677

DO - 10.1109/TIM.2003.814677

M3 - Article

AN - SCOPUS:0042092121

VL - 52

SP - 780

EP - 784

JO - IEEE Transactions on Instrumentation and Measurement

JF - IEEE Transactions on Instrumentation and Measurement

SN - 0018-9456

IS - 3

ER -