Year: 2020
Author: Yiming Gao, Jie Huang, Xu Li, Hairong Liu, Xiaoping Yang
CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 2 : pp. 256–276
Abstract
A good statistical model of speckle formation is useful to design a good speckle reduction model for clinical ultrasound images. We propose a new general distribution to describe the distribution of speckle in clinical ultrasound images according to a log-compression algorithm of clinical ultrasound imaging. A new variational model is designed to remove the speckle noise with the proposed general distribution. The efficiency of the proposed model is confirmed by experiments on synthetic images and real ultrasound images. Compared with previous variational methods which assign a designated distribution, the proposed method is adaptive to remove different kinds of speckle noise by estimating parameters to find suitable distribution. The experiments show that the proposed method can adaptively remove different types of speckle noise.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/csiam-am.2020-0010
CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 2 : pp. 256–276
Published online: 2020-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 21
Keywords: Clinical ultrasound images general distribution speckle adaptive.