Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images

Shuai Feng, Shigang Wang*, Xueshan Gao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The economy of medical ultrasound images comes at the expense of image quality that is usually affected by speckle noise. In this paper, a method for 2D ultrasound medical image despeckling is presented, which combines homomorphic filtering and MAD (Median Anisotropic Diffusion) filtering that the improved Anisotropic Diffusion filter. First, the preprocessed image after dilution of speckle-noise is obtained by homomorphic transformation of the ultrasound image with Gaussian high-pass filtering and median filtering. Then the speckle is removed with the MAD filtering, and finally, the contrast is enhanced. Experimental results demonstrate that the algorithm can effectively reduce the speckle noise and maintain high image quality. The algorithm in this paper helps remove speckle in 2D static ultrasound images, which is potentially valuable for improving the quality of medical ultrasound images.

源语言英语
主期刊名Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021
编辑Teen-Hang Meen
出版商Institute of Electrical and Electronics Engineers Inc.
275-279
页数5
ISBN(电子版)9781665445160
DOI
出版状态已出版 - 2021
已对外发布
活动3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021 - Yunlin, 中国台湾
期限: 29 10月 202131 10月 2021

出版系列

姓名Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021

会议

会议3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021
国家/地区中国台湾
Yunlin
时期29/10/2131/10/21

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