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Speckle Noise Removal by Energy Models with New Regularization Setting
Joint Authors
Zhang, Wei-Qiang
Zou, Jinbin
Chen, Bo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-20
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In this paper, we introduce two novel total variation models to deal with speckle noise in ultrasound image in order to retain the fine details more effectively and to improve the speed of energy diffusion during the process.
Firstly, two new convex functions are introduced as regularization term in the adaptive total variation model, and then, the diffusion performances of Hypersurface Total Variation (HYPTV) model and Logarithmic Total Variation (LOGTV) model are analyzed mathematically through the physical characteristics of local coordinates.
We have shown that the larger positive parameter in the model is set, the greater energy diffusion speed appears to be, but it will cause the image to be too smooth that required adequate attention.
Numerical experimental results show that our proposed LOGTV model for speckle noise removal is superior to traditional models, not only in visual effect but also in quantitative measures.
American Psychological Association (APA)
Chen, Bo& Zou, Jinbin& Zhang, Wei-Qiang. 2020. Speckle Noise Removal by Energy Models with New Regularization Setting. Journal of Function Spaces،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1185363
Modern Language Association (MLA)
Chen, Bo…[et al.]. Speckle Noise Removal by Energy Models with New Regularization Setting. Journal of Function Spaces No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1185363
American Medical Association (AMA)
Chen, Bo& Zou, Jinbin& Zhang, Wei-Qiang. Speckle Noise Removal by Energy Models with New Regularization Setting. Journal of Function Spaces. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1185363
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1185363