Title :
A Regularized Nonlinear Diffusion Approach for Texture Image Denoising
Author :
de O Casaca, W.C. ; Boaventura, Maurilio
Author_Institution :
Dept. of Comput. Sci., Humanities & Exact Sci. Sao Paulo State Univ., Sao Jose do Rio Preto, Brazil
Abstract :
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.
Keywords :
gradient methods; image denoising; image texture; nonlinear filters; partial differential equations; gradient technique; harmonic analysis techniques; nonlinear anisotropic diffusion filter; partial differential equation; regularized nonlinear diffusion approach; texture image denoising; Anisotropic magnetoresistance; Computer graphics; Computer science; Filters; Harmonic analysis; Image denoising; Image processing; Noise reduction; Partial differential equations; Smoothing methods; image denoising; nonlinear diffusion; regularization; texture feature preservation; texture-edge detection; wave atoms;
Conference_Titel :
Computer Graphics and Image Processing (SIBGRAPI), 2009 XXII Brazilian Symposium on
Conference_Location :
Rio de Janiero
Print_ISBN :
978-1-4244-4978-1
Electronic_ISBN :
1550-1834
DOI :
10.1109/SIBGRAPI.2009.33