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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Format: | Article |
Language: | English |
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Universitatea Dunarea de Jos
2009-07-01
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Series: | Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică |
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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. |
first_indexed | 2024-12-11T07:42:40Z |
format | Article |
id | doaj.art-32339dbd372348959af7f3d2f1002621 |
institution | Directory Open Access Journal |
issn | 1221-454X |
language | English |
last_indexed | 2024-12-11T07:42:40Z |
publishDate | 2009-07-01 |
publisher | Universitatea Dunarea de Jos |
record_format | Article |
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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