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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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Patent
09 Jun 1977
TL;DR: In this article, a slew-rate limited amplifier is used to reduce the interference with the voice detection process caused by impulse noise, and a logarithmic amplifier is included for the purpose of optimizing the separation of the syllabic-rate envelope from the audio signal.
Abstract: A voice detector circuit including a slew-rate limited amplifier at the input thereof so as to reduce the interference with the voice detection process caused by impulse noise. The slew-rate limited amplifier is essentially transparent to audio signals, while providing severe attenuation of impulse noise components. The actual determination of the voice content of the audio signal is provided by comparing the average syllabic-rate content of the impulse noise limited, audio signal with the peak noise content thereof. Additionally, a logarithmic amplifier is included for the purpose of optimizing the separation of the syllabic-rate envelope from the audio signal.

18 citations

Journal ArticleDOI
TL;DR: Numerical experiments demonstrate that the proposed method could deblur color images with good quality and employ the five-point property to analyze the convergence of the proposed alternating algorithm.
Abstract: Restoration of images degraded by blurring and impulse noise has received considerable attention recently. Guo et?al. (2009) proposed a fast l 1 -total variation algorithm for grayscale image restoration with impulse noise. In this paper, we extend their idea for deblurring color images with impulse noise. An alternating iteration scheme is adopted for solving the corresponding problem. More importantly, we employ the five-point property to analyze the convergence of the proposed alternating algorithm. Numerical experiments demonstrate that the proposed method could deblur color images with good quality.

18 citations

Journal ArticleDOI
TL;DR: Topics covered are damage risk from high intensity impulse noise, which has now been quantified and criteria agreed internationally, issues associated with the sonic boom and overland flying of civil supersonic aircraft, and the problems associated with environmental impulse noise.

18 citations

Book ChapterDOI
05 Sep 2001
TL;DR: In this paper, a new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented, which is significantly lower than that of the Vector Median Filter.
Abstract: A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented in this paper. The computational complexity of the new filter is significantly lower than that of the Vector Median Filter. The comparison shows that the new filter outperforms the VMF, as well as other standard procedures used in color image processing, when the impulse noise is to be eliminated.

18 citations

Proceedings ArticleDOI
01 Dec 2018
TL;DR: In this paper, a selective adaptive median filter is proposed for the restoration of gray scale images that are highly corrupted by salt and pepper noise, which provides much better results than that of the standard median filter, weighed median filter and switching mean median filter.
Abstract: Abstract. A selective adaptive median filter is proposed for the restoration of gray scale images that are highly corrupted by salt and pepper noise. In this paper, impulse noise removal using the standard median filter and its variants are analyzed. After detecting the salt and pepper noise pixels, the self-adaptive median filter is use to find a suitable window containing more non-noise pixels. This proposed algorithm provides much better results than that of the standard median filter, weighed median filter and switching mean median filter. The proposed algorithm is tested against different gray scale images and it gives better Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE) and Structural Similarity Index (SSIM).

18 citations


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