IEEE Trans Image Process - Adaptive Perona-Malik model based on the variable exponent for image denoising.

Tópicos

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Resumo

This paper introduces a class of adaptive Perona-Malik (PM) diffusion, which combines the PM equation with the heat equation. The PM equation provides a potential algorithm for image segmentation, noise removal, edge detection, and image enhancement. However, the defect of traditional PM model is tending to cause the staircase effect and create new features in the processed image. Utilizing the edge indicator as a variable exponent, we can adaptively control the diffusion mode, which alternates between PM diffusion and Gaussian smoothing in accordance with the image feature. Computer experiments indicate that the present algorithm is very efficient for edge detection and noise removal.

Resumo Limpo

paper introduc class adapt peronamalik pm diffus combin pm equat heat equat pm equat provid potenti algorithm imag segment nois remov edg detect imag enhanc howev defect tradit pm model tend caus staircas effect creat new featur process imag util edg indic variabl expon can adapt control diffus mode altern pm diffus gaussian smooth accord imag featur comput experi indic present algorithm effici edg detect nois remov

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