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Proceedings Paper

An image denoising algorithm based on clustering and median filtering
Author(s): YuLing Wang; Ming Li; Li Li
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Paper Abstract

It is proposed of an improved median de-noising method, namely an image de-noising algorithm based on clustering and median filtering. The algorithm is a kind of image fast de-noising method based on the clustering idea, the singular point points are isolated from the image and then clustering. It is advantage to better protect the details of an image and to substantially reduce calculation. Compared with traditional median filter, mean filter and wiener filter, our approach is more adaptive and receives better results. While for images that have complex details such as texture images, the results of experiment show that the proposed algorithm works less well in the de-noising effect comparatively.

Paper Details

Date Published: 4 March 2015
PDF: 5 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944317 (4 March 2015); doi: 10.1117/12.2179105
Show Author Affiliations
YuLing Wang, Nanjing Univ. of Aeronautics and Astronautics (China)
East China Institute of Technology (China)
Ming Li, Nanchang HangKong Univ. (China)
Li Li, East China Institute of Technology (China)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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