Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images

Shuai Feng; Shigang Wang; Xueshan Gao

doi:10.1109/ECICE52819.2021.9645647

Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images

Shuai Feng, Shigang Wang^*, Xueshan Gao

^*Corresponding author for this work

Guangxi University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	275-279
Number of pages	5
ISBN (Electronic)	9781665445160
DOIs	https://doi.org/10.1109/ECICE52819.2021.9645647
Publication status	Published - 2021
Externally published	Yes
Event	3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021 - Yunlin, Taiwan, Province of China Duration: 29 Oct 2021 → 31 Oct 2021

Publication series

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

Conference

Conference	3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021
Country/Territory	Taiwan, Province of China
City	Yunlin
Period	29/10/21 → 31/10/21

Keywords

anisotropic diffusion
homomorphic filtering
speckle reduction
two-dimensional ultrasound images

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ECICE52819.2021.9645647

Cite this

Feng, S., Wang, S., & Gao, X. (2021). Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images. In T.-H. Meen (Ed.), Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021 (pp. 275-279). (Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECICE52819.2021.9645647

Feng, Shuai ; Wang, Shigang ; Gao, Xueshan. / Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images. Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 275-279 (Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021).

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title = "Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images",

abstract = "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.",

keywords = "anisotropic diffusion, homomorphic filtering, speckle reduction, two-dimensional ultrasound images",

author = "Shuai Feng and Shigang Wang and Xueshan Gao",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021 ; Conference date: 29-10-2021 Through 31-10-2021",

year = "2021",

doi = "10.1109/ECICE52819.2021.9645647",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "275--279",

editor = "Teen-Hang Meen",

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address = "United States",

}

Feng, S, Wang, S & Gao, X 2021, Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images. in T-H Meen (ed.), Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021. Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021, Institute of Electrical and Electronics Engineers Inc., pp. 275-279, 3rd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2021, Yunlin, Taiwan, Province of China, 29/10/21. https://doi.org/10.1109/ECICE52819.2021.9645647

Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images. / Feng, Shuai; Wang, Shigang; Gao, Xueshan.
Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2021. p. 275-279 (Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images

AU - Feng, Shuai

AU - Wang, Shigang

AU - Gao, Xueshan

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

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KW - homomorphic filtering

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M3 - Conference contribution

AN - SCOPUS:85124244853

T3 - Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021

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

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 29 October 2021 through 31 October 2021

ER -

Feng S, Wang S, Gao X. Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images. In Meen TH, editor, Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 275-279. (Proceedings of the 3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, ECICE 2021). doi: 10.1109/ECICE52819.2021.9645647

Homomorphic Filtering and MAD Filtering Based Speckle Removal in Ultrasound Images

Abstract

Publication series

Conference

Keywords

UN SDGs

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