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

Bo Chen,Jinbin Zou,Binbin Pan,Wensheng Chen,Yan Lv

doi:10.1155/2020/3416958

Bo Chen, Jinbin Zou + Show 3 more

Open Access

https://doi.org/10.1155/2020/3416958

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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.

Highlights

With the rapid development of science and technology, computer network and image equipment are widely used
In the early image denoising work, it can be divided into filter based on convolution methods [1, 2], wavelet based on image denoising methods [3, 4], depth based on learning method, and partial differential equation (PDE) based methods [5,6,7,8]
Alternating Direction Method of Multipliers is a computational framework for solving optimization problems, which is suitable for solving distributed convex optimization problems

Summary

Introduction

With the rapid development of science and technology, computer network and image equipment are widely used. People have higher and higher requirements for the quality of digital image, and the digital image processing technology has attracted more and more attention of researchers. Medical ultrasound image reflects the difference of acoustic parameters in media and can obtain information different from optical, X-ray and Y-ray. In the process of medical ultrasound image transmission, speckle noise will be produced, which will lead to a significant decline in the quality of ultrasound image and cover up the damage of some important tissues. How to eliminate speckle noise in ultrasound image while retaining its important features is a challenge. In the paper [2], Kristian et al derive the corresponding data fidelity term according to the distribution characteristics of Gaussian noise and the degradation model of medical ultrasonic noise image:.

3: Repeat

10: Final Input:u

Background

The ADMM Algorithm for the Energy Minimization Model

Experimental Results

Conclusion