IEEE Trans Image Process - An edge-adapting Laplacian kernel for nonlinear diffusion filters.

Tópicos

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Resumo

In this paper, first, a new Laplacian kernel is developed to integrate into it the anisotropic behavior to control the process of forward diffusion in horizontal and vertical directions. It is shown that, although the new kernel reduces the process of edge distortion, it nonetheless produces artifacts in the processed image. After examining the source of this problem, an analytical scheme is devised to obtain a spatially varying kernel that adapts itself to the diffusivity function. The proposed spatially varying Laplacian kernel is then used in various nonlinear diffusion filters starting from the classical Perona-Malik filter to the more recent ones. The effectiveness of the new kernel in terms of quantitative and qualitative measures is demonstrated by applying it to noisy images.

Resumo Limpo

paper first new laplacian kernel develop integr anisotrop behavior control process forward diffus horizont vertic direct shown although new kernel reduc process edg distort nonetheless produc artifact process imag examin sourc problem analyt scheme devis obtain spatial vari kernel adapt diffus function propos spatial vari laplacian kernel use various nonlinear diffus filter start classic peronamalik filter recent one effect new kernel term quantit qualit measur demonstr appli noisi imag

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