A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method

Author:

Chen Bo12ORCID,Lv Yan1,Zou Jinbin1,Chen Wensheng12,Pan Binbin12ORCID

Affiliation:

1. Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics and Statistics, Shenzhen University, Shenzhen 518060, China

2. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen 518060, China

Abstract

Speckle noise removal in medical ultrasound images is a challenging task. In this paper, a new model is proposed to removal speckle noise, alternating direction method of multipliers algorithm is employed to solve the new energy minimization model. The convexity, existence, and uniqueness of the new energy minimization model’s solution are proved. Series of experiments are designed in this paper. Numerical results show that the new algorithm can reduce the step effect effectively obtain good results in visual effect and quantitative measures by comparing with some traditional models.

Funder

China Scholarship Council Project

Publisher

Hindawi Limited

Subject

Analysis

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Current Advances in Computational Lung Ultrasound Imaging: A Review;IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control;2023-01

2. A New Adaptive TV-Based BM3D Algorithm for Image Denoising;Artificial Intelligence;2022

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