A Distortion Input Parameter in Image Denoising Algorithms with Wavelets

The problem of image denoising based on wavelets is considered. The paper proposes an image denoising method by imposing a distortion input parameter instead of threshold. The method has two algorithms. The first one is running off line and it is applied to the prototype of the image class and it bu...

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Main Authors: Anisia GOGU, Dorel AIORDACHIOAIE
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2009-07-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Online Access:http://www.ann.ugal.ro/eeai/archives/2009/Lucrare-08-Gogu.pdf
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author Anisia GOGU
Dorel AIORDACHIOAIE
author_facet Anisia GOGU
Dorel AIORDACHIOAIE
author_sort Anisia GOGU
collection DOAJ
description The problem of image denoising based on wavelets is considered. The paper proposes an image denoising method by imposing a distortion input parameter instead of threshold. The method has two algorithms. The first one is running off line and it is applied to the prototype of the image class and it building a specific dependency, linear or nonlinear, between the final desired distortion and the necessary probability of the details coefficients. The next algorithm, is directly applying the denoising with a threshold computed from the previous step. The threshold is estimated by using the probability density function of the details coefficients and by imposing the probability of the coefficients which will be kept. The obtained results are at the same quality level with other well known methods.
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series Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
spelling doaj.art-32339dbd372348959af7f3d2f10026212022-12-22T01:15:31ZengUniversitatea Dunarea de JosAnalele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică1221-454X2009-07-013214853A Distortion Input Parameter in Image Denoising Algorithms with WaveletsAnisia GOGUDorel AIORDACHIOAIEThe problem of image denoising based on wavelets is considered. The paper proposes an image denoising method by imposing a distortion input parameter instead of threshold. The method has two algorithms. The first one is running off line and it is applied to the prototype of the image class and it building a specific dependency, linear or nonlinear, between the final desired distortion and the necessary probability of the details coefficients. The next algorithm, is directly applying the denoising with a threshold computed from the previous step. The threshold is estimated by using the probability density function of the details coefficients and by imposing the probability of the coefficients which will be kept. The obtained results are at the same quality level with other well known methods.http://www.ann.ugal.ro/eeai/archives/2009/Lucrare-08-Gogu.pdfSignal Processingdenoisingfilteringthresholdingsimulationwavelets
spellingShingle Anisia GOGU
Dorel AIORDACHIOAIE
A Distortion Input Parameter in Image Denoising Algorithms with Wavelets
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Signal Processing
denoising
filtering
thresholding
simulation
wavelets
title A Distortion Input Parameter in Image Denoising Algorithms with Wavelets
title_full A Distortion Input Parameter in Image Denoising Algorithms with Wavelets
title_fullStr A Distortion Input Parameter in Image Denoising Algorithms with Wavelets
title_full_unstemmed A Distortion Input Parameter in Image Denoising Algorithms with Wavelets
title_short A Distortion Input Parameter in Image Denoising Algorithms with Wavelets
title_sort distortion input parameter in image denoising algorithms with wavelets
topic Signal Processing
denoising
filtering
thresholding
simulation
wavelets
url http://www.ann.ugal.ro/eeai/archives/2009/Lucrare-08-Gogu.pdf
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AT dorelaiordachioaie adistortioninputparameterinimagedenoisingalgorithmswithwavelets
AT anisiagogu distortioninputparameterinimagedenoisingalgorithmswithwavelets
AT dorelaiordachioaie distortioninputparameterinimagedenoisingalgorithmswithwavelets