Improved image de-noising algorithm based on the direction of diffusion

Linan Fan; Qiang Li; Youguo He; Feng Wang

doi:10.1117/12.2197077

6 July 2015 Improved image de-noising algorithm based on the direction of diffusion

Linan Fan, Qiang Li, Youguo He, Feng Wang

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310G (2015) https://doi.org/10.1117/12.2197077
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

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.

Citation Download Citation

Linan Fan, Qiang Li, Youguo He, and Feng Wang "Improved image de-noising algorithm based on the direction of diffusion", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310G (6 July 2015); https://doi.org/10.1117/12.2197077

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