New image detail-preserving filter based on multi-threshold decomposition

Peng Qin; Runtao Ding

doi:10.1117/12.538658

25 September 2003 New image-detail-preserving filter based on multithreshold decomposition

Peng Qin, Runtao Ding

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538658
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

This paper presents a new filtering algorithm using multi-threshold decomposition filter (MTDF) to solve the contradiction between impulse noise attenuation and image detail-preserving. The algorithm firstly uses Otsu’s threshold segmentation (OTS) to segment the image into four parts by steps. Then the matrices of the impulse noise location can be obtained respectively using the threshold decomposition multistage median filter (TDMMF). At last, median filters separately according to the matrices filter the noise pixels in the original image. The results indicate that the method has not only the good ability of de-noising but also better properties in preserving details than median filtering.

Citation Download Citation

Peng Qin and Runtao Ding "New image-detail-preserving filter based on multithreshold decomposition", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538658

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