An image denoising algorithm based on clustering and median filtering

YuLing Wang; Ming Li; Li Li

doi:10.1117/12.2179105

4 March 2015 An image denoising algorithm based on clustering and median filtering

YuLing Wang, Ming Li, Li Li

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944317 (2015) https://doi.org/10.1117/12.2179105
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

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.

Citation Download Citation

YuLing Wang, Ming Li, and Li Li "An image denoising algorithm based on clustering and median filtering", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944317 (4 March 2015); https://doi.org/10.1117/12.2179105

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