An Improved Non-local Mean Ultrasound Image Denoising Algorithm

DOI

10.2991/caai-18.2018.27How to use a DOI?

Keywords

non-local means; ultrasound image; despeckle; gamma distribution noise model

Abstract

An improved non-local mean ultrasound image denoising method is proposed to solve the problem of poor effect of traditional image denoising algorithm on ultrasound images. In this method the non-local mean filtering algorithm is improved by using the gamma distribution noise model and image block matching, so as to get better noise reduction effect. By comparing with Gaussian filtering algorithm, median filtering algorithm and bilateral filtering algorithm, the improved algorithm achieves better noise reduction than traditional methods, and compared with early non-local mean algorithm in peak signal-to-noise ratio and mean square error performance were optimized.

Copyright

© 2018, 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  - Baozhong Liu
AU  - Jianbin Liu
PY  - 2018/08
DA  - 2018/08
TI  - An Improved Non-local Mean Ultrasound Image Denoising Algorithm
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 114
EP  - 118
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.27
DO  - 10.2991/caai-18.2018.27
ID  - Liu2018/08
ER  -