Using anisotropic diffusion equations in pixon domain for image de-noising

被引:6
|
作者
Nadernejad, Ehsan [1 ]
Sharifzadeh, Sara [2 ]
Forchhammer, Soren [1 ]
机构
[1] Tech Univ Denmark, Dept Photon Engn, DK-2800 Lyngby, Denmark
[2] Tech Univ Denmark, Dept Informat & Math Modeling, DK-2800 Lyngby, Denmark
关键词
De-noising; Edge; Diffusion equations; Pixonal image; SEGMENTATION; RECONSTRUCTION; ENHANCEMENT; SCHEME;
D O I
10.1007/s11760-012-0356-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Image enhancement is an essential phase in many image processing algorithms. In any image de-noising algorithm, it is a major concern to keep the interesting structures of the image. Such interesting structures in an image often correspond to the discontinuities in the image (edges). In this paper, we propose a new algorithm for image de-noising using anisotropic diffusion equations in pixon domain. In this approach, diffusion equations are applied on the pixonal model of the image. The algorithm has been examined on a variety of standard images and the performance has been compared with algorithms known from the literature. The experimental results show that in comparison with the other existing methods, the proposed algorithm has a better performance in de-noising and preserving image edges.
引用
收藏
页码:1113 / 1124
页数:12
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