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

Chung Bin Wu; Bin Da Liu; Jar Ferr Yang

doi:10.1109/TIM.2003.814677

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 journal › Article › peer-review

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 language	English
Pages (from-to)	780-784
Number of pages	5
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	52
Issue number	3
DOIs	https://doi.org/10.1109/TIM.2003.814677
Publication status	Published - 2003 Jun

All Science Journal Classification (ASJC) codes

Instrumentation
Electrical and Electronic Engineering

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10.1109/TIM.2003.814677

Cite this

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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\}",

note = "Funding Information: Manuscript received October 28, 2000; revised March 3, 2003. This work was supported by the National Science Council of Taiwan, R.O.C., under Grant NSC 91-2218-E-006-006. The authors are with the Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. (e-mail: [email protected]. ncku.edu.tw). Digital Object Identifier 10.1109/TIM.2003.814677",

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N1 - Funding Information: Manuscript received October 28, 2000; revised March 3, 2003. This work was supported by the National Science Council of Taiwan, R.O.C., under Grant NSC 91-2218-E-006-006. The authors are with the Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan, R.O.C. (e-mail: [email protected]. ncku.edu.tw). Digital Object Identifier 10.1109/TIM.2003.814677

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

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