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Proceedings Paper

Improved image de-noising algorithm based on the direction of diffusion
Author(s): Linan Fan; Qiang Li; Youguo He; Feng Wang
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Paper Abstract

De-noising is a classic problem in image processing, however, keep the image edges and details characteristics and de-noising is a contradiction of the relationship. Based on this defect, in this paper, the curvature and gradient are introduced to improve the operator of direction diffusion, which is able to remove the noise t also makes a good save edge features and details of the role, inhibit noise isolation at the same time. Experimental results show that the image de-noising methods can have good results.

Paper Details

Date Published: 6 July 2015
PDF: 4 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310G (6 July 2015); doi: 10.1117/12.2197077
Show Author Affiliations
Linan Fan, Shenyang Univ. (China)
Qiang Li, Shenyang Univ. (China)
Youguo He, Shenyang Univ. (China)
Feng Wang, Shenyang Univ. (China)

Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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