Image speckle noise denoising by a multi-layer fusion enhancement method based on block matching and 3D filtering-Reference-Cited by-同舟云学术

Image speckle noise denoising by a multi-layer fusion enhancement method based on block matching and 3D filtering

Published:2019-05-19 Issue:4 Volume:67 Page:224-235
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Huang Shuo¹²^ORCID,Zhou Ping¹,Shi Hao¹,Sun Yu¹³,Wan Suiren¹

Affiliation:

1. State Key Laboratory of Bioelectronics, International Laboratory for Children’s Medical Imaging Research, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, People’s Republic of China

2. Shanghai United-imaging Healthcare Co., Ltd, Shanghai, People’s Republic of China

3. Institute of Cancer and Genomic Science, University of Birmingham, Birmingham, UK

Funder

Project of Texas Instruments (TI) Company

Key Project of Special Development Foundation of Shanghai Zhangjiang National Innovation Demonstration Zone

National Key R&D Program of China

National Natural Science Foundation of China

Research Centre for Learning Science of Southeast University

School of Biological Sciences and Medical Engineering of Southeast University

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2019.1612589

Reference46 articles.

1. Novel Bayesian multiscale method for speckle removal in medical ultrasound images

2. Speckle suppression in medical ultrasound images through Schur decomposition

3. Despeckling of medical ultrasound images

4. Some fundamental properties of speckle*

5. Polarimetric SAR speckle filtering and its implication for classification

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