Open AccessSpeckle reduction by image entropy anisotropic diffusion
Author(s) -
Jincai Li,
Ma Zi-Hui,
Peng Yu-Xing,
Bin Huang
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.099501
Subject(s) - anisotropic diffusion , speckle pattern , computer science , speckle noise , artificial intelligence , entropy (arrow of time) , edge detection , image quality , anisotropy , computer vision , optics , pattern recognition (psychology) , image processing , image (mathematics) , physics , quantum mechanics
Edge detection is the focus and difficult point for speckle reduction anisotropic diffusion. Traditional methods typically rely on the estimation of mean and variance in edge detection. The precision of the estimations influences the accuracy of edge detection. In this paper, we present an anisotropic diffusion filter based on image entropy. This method uses image entropy as an edge detector to eliminate the error due to the estimation of mean and variance, and improves the edge detection capability. The experimental results show that the visual quality and evaluation indexes of the new method outperform those of the traditional methods.