Loading [a11y]/accessibility-menu.js
Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising | IEEE Journals & Magazine | IEEE Xplore

Adaptive Perona–Malik Model Based on the Variable Exponent for Image Denoising


Abstract:

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 algorit...Show More

Abstract:

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.
Published in: IEEE Transactions on Image Processing ( Volume: 21, Issue: 3, March 2012)
Page(s): 958 - 967
Date of Publication: 23 September 2011

ISSN Information:

PubMed ID: 21947525

References

References is not available for this document.