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Noise reduction

Known as: Dynamic Noise Limiter, DNL, Audio noise reduction 
Noise reduction is the process of removing noise from a signal. All recording devices, both analog and digital, have traits that make them… 
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Related topics

Related topics

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AlgorithmAphelion Imaging Software SuiteAudacityBibble

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Image Noise Reduction and Filtering Techniques
: Images are often degraded by noises. Noise can occur and obtained during image capture, transmission, etc. Noise removal is an… 
Highly Cited
2013
Highly Cited
2013
Combining the power of Internal and External denoising
Image denoising methods can broadly be classified into two types: “Internal Denoising” (denoising an image patch using other… 
Highly Cited
2012
Highly Cited
2012
An Improved Image Denoising Method Based on Wavelet Thresholding
VisuShrink, ModineighShrink and NeighShrink are efficient image denoising algorithms based on the discrete wavelet transform (DWT… 
Highly Cited
2008
Highly Cited
2008
An Efficient Edge-Preserving Algorithm for Removal of Salt-and-Pepper Noise
In this letter, a novel algorithm for removing salt-and-pepper noise from corrupted images is presented. We employ an efficient… 
Highly Cited
2005
Highly Cited
2005
A time-based energy-efficient analog-to-digital converter
Dual-slope converters use time to perform analog-to-digital conversion but require 2/sup N+1/ clock cycles to achieve N bits of… 
Highly Cited
2004
Highly Cited
2004
Diagnosis of incipient faults in power transformers using CMAC neural network approach
Highly Cited
2003
Highly Cited
2003
The contourlet transform for image denoising using cycle spinning
  • R. EslamiH. Radha
  • The Thrity-Seventh Asilomar Conference on Signals…
  • 2003
  • Corpus ID: 8347941
A new method for image denoising based on the contourlet transform, which has been recently introduced is presented in this paper… 
Highly Cited
2001
Highly Cited
2001
Image Denoising by Sparse Code Shrinkage
Sparse coding is a method for finding a representation of data in which each of the components of the representation is only… 
Highly Cited
2000
Highly Cited
2000
Image denoising using wavelet thresholding and model selection
This paper describes wavelet thresholding for image denoising under the framework provided by statistical learning theory a.k.a… 
Highly Cited
1997
Highly Cited
1997
Oscillation built-in self test (OBIST) scheme for functional and structural testing of analog and mixed-signal integrated circuits
This paper describes a new built-in self test (BIST) technique suitable for both functional and structural testing of analog and… 
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