Jiliu Zhou

Mingyuan Xie

Wei Wu

Xi Wu

Advances in Optical Technologies

English

We present a novel nonlocal mean (NLM) algorithm using an anisotropic structure tensor to achieve higher accuracy of imaging denoising and better preservation of fine image details. Instead of using the intensity to identify the pixel, the proposed algorithm uses the structure tensor to characterize the boundary information around the pixel more comprehensively. Meanwhile, similarity of the structure tensor is computed in a Riemannian space for more rigorous comparison, and the similarity weight of the pixel (or patch) is determined by the intensity and structure tensor simultaneously. The proposed algorithm is compared with the original NLM algorithm and a modified NLM algorithm that is based on the principle component analysis. Quantitative and qualitative comparisons of the three NLM algorithms are presented as well.</jats:p

Crossref

Nonlocal Mean Image Denoising Using Anisotropic Structure Tensor

http://downloads.hindawi.com/archive/2013/794728.pdf

Nonlocal Mean Image Denoising Using Anisotropic Structure Tensor

Abstract

Similar works

Full text

Available Versions

Crossref