An image denoising algorithm based on clustering and median filtering
Yuling Wang, Ming Li, Li Li · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
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.