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Speckle noise reduction for ultrasound images by using speckle reducing anisotropic diffusion and Bayes threshold

Title
Speckle noise reduction for ultrasound images by using speckle reducing anisotropic diffusion and Bayes threshold
Author
정제창
Keywords
Ultrasound imaging; speckle noise; discrete wavelet transform; srad; bayes threshold
Issue Date
2019-10
Publisher
IOS PRESS
Citation
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, v. 27, no. 5, Page. 885-898
Abstract
Ultrasound imaging has been used for diagnosing lesions in the human body. In the process of acquiring ultrasound images, speckle noise may occur, affecting image quality and auto-lesion classification. Despite the efforts to resolve this, conventional algorithms exhibit poor speckle noise removal and edge preservation performance. Accordingly, in this study, a novel algorithm is proposed based on speckle reducing anisotropic diffusion (SRAD) and a Bayes threshold in the wavelet domain. In this algorithm, SRAD is employed as a preprocessing filter, and the Bayes threshold is used to remove the residual noise in the resulting image. Compared to the conventional filtering techniques, experimental results showed that the proposed algorithm exhibited superior performance in terms of peak signal-to-noise ratio (average = 28.61 dB) and structural similarity (average = 0.778).
URI
https://content.iospress.com/articles/journal-of-x-ray-science-and-technology/xst190515https://repository.hanyang.ac.kr/handle/20.500.11754/154429
ISSN
0895-3996; 1095-9114
DOI
10.3233/XST-190515
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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