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Impulse noise

About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.


Papers
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Journal ArticleDOI
TL;DR: A fuzzy detection and reduction method for impulse noise in colour images based on the fuzzyfication of a well-known statistic called ROD, which is very robust in front of four different types of impulse noise.

16 citations

Journal ArticleDOI
TL;DR: Experimental results show that the proposed operator significantly outperforms the other operators and efficiently removes impulse noise from digital images without distorting image details and texture.
Abstract: A new operator for removing impulse noise from digital images is presented. The proposed operator is a hybrid filter constructed by combining four center-weighted median filters (CWMF) with a simple adaptive neuro-fuzzy inference system (ANFIS). The internal parameters of the ANFIS are optimized by training. The training is performed by using simple artificial images which can easily be generated by computer. The fundamental advantage of the proposed operator over other operators in the literature is that it efficiently removes impulse noise while at the same time effectively preserves image details and texture. Performance of the proposed operator is tested at various noise densities and for different test images, and also compared with conventional as well as state-of-the-art impulse noise removal operators. Experimental results show that the proposed operator significantly outperforms the other operators and efficiently removes impulse noise from digital images without distorting image details and texture.

16 citations

Proceedings ArticleDOI
29 Jan 2002
TL;DR: It is shown that the MC-CDMA technique presents better performances than the normalised ADSL technique under identical simulation parameters ( data rate, bandwidth, transmitted power, coding, interleaver).
Abstract: This paper deals with the comparison of two multi carrier modulation techniques over existing copper twisted pairs: the Discrete Multi Tone (DMT) modulation and the Multi Carrier Code Division Multiple Access (MC-CDMA) modulation The first form has been proposed for Asymmetrical Digital Subscriber Line (ADSL) However in ADSL, the wire pairs suffer from disturbances such as transients, radio-frequency noise Among them, impulse noise is considered to be one of the most damaging impairments Then, our proposal intends to limit the effects of such a noise thanks to the use of the latter form of modulation which combines multi carrier technique with spread spectrum In order to improve the performances of the system proposed still further various detection techniques are studied In this context, we show that the MC-CDMA technique presents better performances than the normalised ADSL technique under identical simulation parameters (data rate, bandwidth, transmitted power, coding, interleaver)

16 citations

Patent
Axel Clausen1, Vladimir Oksman1
19 Apr 2007
TL;DR: In this article, a method to limit the effect of repetitive electrical impulse noise in a communication system is presented. But the method is limited to a communication service and it is not suitable for the use in a wireless communication system.
Abstract: A method limits the effect of repetitive electrical impulse noise in a communication system The presence of the repetitive electrical impulse noise is detected during communication service If the repetitive electrical impulse noise is detected, then a message is transmitted which signals that the repetitive electrical impulse noise is present Other systems and methods are disclosed

16 citations

Proceedings ArticleDOI
16 Dec 2008
TL;DR: The proposed method is capable of detecting all the impulse noise pixels with almost zero false positive rates and removes noise while retaining finer image details and is yet simple and suitable for real time applications.
Abstract: In this paper, a novel and effective method for impulse noise removal in corrupted color images is discussed The new method consists of two phases The first phase is a noise detection phase where a modified Hopfield neural network is used to detect impulse noise pixels The second is a noise filtering phase where the disadvantage of taking vector median in a single color space is addressed and a new algorithm based on performing vector median first in RGB space and then in HSI space is presented The results of simulations performed on a set of standard test images on a wide range of noise corruption show that the proposed method is capable of detecting all the impulse noise pixels with almost zero false positive rates and removes noise while retaining finer image details It outperforms the standard procedures and is yet simple and suitable for real time applications

16 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202371
2022168
2021111
2020175
2019206
2018210