A regularized nonlinear diffusion approach for texture image denoising
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Data
2009-12-01
Autores
Casaca, Wallace Correa de O. [UNESP]
Boaventura, Maurílio [UNESP]
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Resumo
In 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.
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Palavras-chave
De-noising, Diffusion process, Forcing terms, Image characteristics, Non-linear anisotropic diffusion, Nonlinear diffusion, Texture image, Computer graphics, Differential equations, Diffusion, Fourier series, Harmonic analysis, Image processing, Imaging systems, Textures
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Proceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing, p. 164-171.