scholarly journals Evaluation on the Usefulness of Ultrasound Image Speckle Reduction Using Total Variation Denoising (TVD) Method in Laplacian Pyramid

2016 ◽  
Vol 37 (4) ◽  
pp. 140-146
Author(s):  
J.H. Moon ◽  
D.H. Choi ◽  
S.Y. Lee ◽  
Ki-Sik Tae
Keyword(s):  
Total Variation ◽  
Ultrasound Image ◽  
Speckle Reduction ◽  
Laplacian Pyramid ◽  
Tvd Method ◽  
Total Variation Denoising

Laplacian pyramid based non-linear coherence diffusion for real-time ultrasound image speckle reduction

2021 ◽  
Vol 183 ◽  
pp. 108298
Author(s):  
Guofeng Zhang ◽  
Renjie Song ◽  
Bo Ding ◽  
Yifei Zhu ◽  
Honghui Xue ◽  
...  
Keyword(s):  
Real Time ◽  
Ultrasound Image ◽  
Speckle Reduction ◽  
Laplacian Pyramid ◽  
Non Linear

scholarly journals Exact solutions for the total variation denoising problem of piecewise constant images in dimension one

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Riccardo Cristoferi
Keyword(s):  
Exact Solution ◽  
Exact Solutions ◽  
Total Variation ◽  
Piecewise Constant ◽  
Geometrical Properties ◽  
Total Variation Denoising ◽  
Fidelity Term ◽  
Dimension One

AbstractA method for obtaining the exact solution for the total variation denoising problem of piecewise constant images in dimension one is presented. The validity of the algorithm relies on some results concerning the behavior of the solution when the parameter λ in front of the fidelity term varies. Albeit some of them are well-known in the community, here they are proved with simple techniques based on qualitative geometrical properties of the solutions.

An adaptive fixed-point proximity algorithm for solving total variation denoising models

2017 ◽  
Vol 402 ◽  
pp. 69-81 ◽  
Author(s):  
Jin-He Wang ◽  
Fan-Yun Meng ◽  
Li-Ping Pang ◽  
Xing-Hua Hao
Keyword(s):  
Fixed Point ◽  
Total Variation ◽  
Total Variation Denoising

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.

Application of total variation denoising in nuclear power plant signal pre-processing

2020 ◽  
Vol 135 ◽  
pp. 106981 ◽  
Author(s):  
Bo Yang ◽  
Hong Xia ◽  
M. Annor-Nyarko ◽  
Zhichao Wang
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Total Variation ◽  
Nuclear Power ◽  
Total Variation Denoising
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