Neural Networks Applied for impulse Noise Reduction from Digital Images

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dc.creatorSoares, Pablo Luiz Braga
dc.creatorSilva, José Patrocínio da
dc.date2012-12-01
dc.date.accessioned2017-08-01T21:08:39Z
dc.date.available2017-08-01T21:08:39Z
dc.date.issued2017-08-01
dc.descriptionThis paper proposes the use of a new method for detecting and removing impulse noise from digital images based on the combination of two Artificial Neural Networks (ANN). The training algorithm of the ANNs is based on the technique of backpropagation. The first ANN is used to the detection of impulse noise, known as salt and pepper, and the second ANN is used to replace it by an estimated value. The proposed method is compared with other methods on literature in terms of visual judgment and also using a quantitative measure of PSNR - Peak Signal To Noise Ratio. The numerical and visual results obtained demonstrate the feasibility of the proposed method, which can be used as part of a tool for treatment of images.
dc.formatapplication/pdf
dc.identifierhttp://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/358
dc.identifier.citationSOARES, P. L. B.; SILVA, J. P. da. Neural Networks Applied for impulse Noise Reduction from Digital Images. INFOCOMP Journal of Computer Science, Lavras, v. 11, n. 3-4, p. 7-14, Dec. 2012.
dc.identifier.urihttps://repositorio.ufla.br/handle/1/14965
dc.publisherUniversidade Federal de Lavras
dc.relationhttp://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/358/342
dc.sourceINFOCOMP; Vol 11 No 3-4 (2012): September-December, 2012; 7-14
dc.source1982-3363
dc.source1807-4545
dc.subjectArtificial Neural Networks
dc.subjectImpulse noise
dc.subjectImpulse Detector
dc.subjectImpulse estimator
dc.subjectDigital images
dc.titleNeural Networks Applied for impulse Noise Reduction from Digital Images
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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