Nonlocal total variation based speckle noise removal method for ultrasound image

2011 ◽  
Author(s):  
Liqian Wang ◽  
Liang Xiao ◽  
Lili Huang ◽  
Zhihui Wei
Keyword(s):  
Total Variation ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Noise Removal ◽  
Removal Method ◽  
Nonlocal Total Variation

scholarly journals Speckle Noise Removal by Energy Models with New Regularization Setting

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Bo Chen ◽  
Jinbin Zou ◽  
Weiqiang Zhang
Keyword(s):  
Total Variation ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Noise Removal ◽  
Energy Models ◽  
Energy Diffusion ◽  
Total Variation Model ◽  
Local Coordinates ◽  
Diffusion Speed ◽  
Adaptive Total Variation

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.

Speckle noise removal applied to ultrasound image of carotid artery based on total least squares model

2016 ◽  
Vol 24 (5) ◽  
pp. 749-760
Author(s):  
Lei Yang ◽  
Jun Lu ◽  
Ming Dai ◽  
Li-Jie Ren ◽  
Wei-Zong Liu ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Least Squares ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Noise Removal ◽  
Total Least Squares

scholarly journals A Median Filter With Evaluating of Temporal Ultrasound Image for Impulse Noise Removal for Kidney Diagnosis

2020 ◽  
Vol 1 (2) ◽  
pp. 71-77
Author(s):  
Rasheed Ihsan ◽  
Saman Almufti ◽  
Ridwan Marqas
Keyword(s):  
Information Quality ◽  
Kidney Diseases ◽  
Median Filter ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Noise Removal ◽  
Ultrasound Images ◽  
Examination Methods ◽  
Detection And Diagnosis ◽  
Temporal Dimensions

Ultrasound imaging helps the doctor to view the tissues and organs in the body's abdominal area with no ionization risks compared to other internal organ examination methods dependent on radiation. It offers highly precise renal imaging of suspected acute kidney diseases. This paper proposes temporary filtering methods to improve ultrasound images from ultrasonic kidney video. The proposed filters focus on the detection and diagnosis of kidney disease by processing consecutive images of the acquired kidney video. Extending the spatial median image filters to temporal dimensions after the picture frames are manually clipped and aligned in MATLAB by image processing Toolbox to suppress speckle noise, and enhance a doctor's diagnostic information quality.

scholarly journals Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling

2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Shujun Liang ◽  
Feng Yang ◽  
Tiexiang Wen ◽  
Zhewei Yao ◽  
Qinghua Huang ◽  
...  
Keyword(s):  
Total Variation ◽  
Ultrasound Image ◽  
Nonlocal Total Variation ◽  
Leibler Divergence ◽  
Image Despeckling

Speckle noise removal in ultrasound images by first- and second-order total variation

2017 ◽  
Vol 78 (2) ◽  
pp. 513-533 ◽  
Author(s):  
Si Wang ◽  
Ting-Zhu Huang ◽  
Xi-Le Zhao ◽  
Jin-Jin Mei ◽  
Jie Huang
Keyword(s):  
Total Variation ◽  
Speckle Noise ◽  
Noise Removal ◽  
Second Order ◽  
Ultrasound Images
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