Research on medical image denoising based on improved median filtering algorithm

DOI

10.2991/icmii-15.2015.181How to use a DOI?

Keywords

Medical image processing. Image denoising. Median filtering.

Abstract

Image denoising method can be divided into the spatial and frequency domain processing methods from different processing domains. The former is to deal with it in the two-dimensional space of the image itself. According to the different nature, it can be divided into linear processing method and nonlinear processing method. The latter is used to approximate the original signal function with a set of orthogonal function. The linear filtering algorithm in spatial domain is more mature, the digital analysis is simple, and the random noise effect is obvious, but it has obvious defects, such as the prior statistical knowledge of random noise, and the poor performance of the image edge details.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jinguo Wang
AU  - Na Wang
AU  - Rui Wang
PY  - 2015/10
DA  - 2015/10
TI  - Research on medical image denoising based on improved median filtering algorithm
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 1024
EP  - 1027
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.181
DO  - 10.2991/icmii-15.2015.181
ID  - Wang2015/10
ER  -