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Proceedings Paper

New image detail-preserving filter based on multi-threshold decomposition
Author(s): Peng Qin; Runtao Ding
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Paper 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.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538658
Show Author Affiliations
Peng Qin, Tianjin Univ. (China)
Runtao Ding, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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