dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorCasaca, Wallace Correa de O.
dc.creatorBoaventura, Maurílio
dc.date2014-05-27T11:24:04Z
dc.date2016-10-25T18:27:46Z
dc.date2014-05-27T11:24:04Z
dc.date2016-10-25T18:27:46Z
dc.date2009-12-01
dc.date.accessioned2017-04-06T01:38:24Z
dc.date.available2017-04-06T01:38:24Z
dc.identifierProceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing, p. 164-171.
dc.identifier1530-1834
dc.identifierhttp://hdl.handle.net/11449/71301
dc.identifierhttp://acervodigital.unesp.br/handle/11449/71301
dc.identifier10.1109/SIBGRAPI.2009.33
dc.identifierWOS:000289696300022
dc.identifier2-s2.0-77949601950
dc.identifierhttp://dx.doi.org/10.1109/SIBGRAPI.2009.33
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/892304
dc.descriptionIn this paper a new partial differential equation based method is presented with a view to denoising images having textures. The proposed model combines a nonlinear anisotropic diffusion filter with recent harmonic analysis techniques. A wave atom shrinkage allied to detection by gradient technique is used to guide the diffusion process so as to smooth and maintain essential image characteristics. Two forcing terms are used to maintain and improve edges, boundaries and oscillatory features of an image having irregular details and texture. Experimental results show the performance of our model for texture preserving denoising when compared to recent methods in literature. © 2009 IEEE.
dc.languageeng
dc.relationProceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDe-noising
dc.subjectDiffusion process
dc.subjectForcing terms
dc.subjectImage characteristics
dc.subjectNon-linear anisotropic diffusion
dc.subjectNonlinear diffusion
dc.subjectTexture image
dc.subjectComputer graphics
dc.subjectDifferential equations
dc.subjectDiffusion
dc.subjectFourier series
dc.subjectHarmonic analysis
dc.subjectImage processing
dc.subjectImaging systems
dc.subjectTextures
dc.titleA regularized nonlinear diffusion approach for texture image denoising
dc.typeOtro


Este ítem pertenece a la siguiente institución