A new speckle filtering method for ultrasound images based on a weighted multiplicative total variation

2014 ◽  
Vol 103 ◽  
pp. 214-229 ◽  
Author(s):  
Meriem Hacini ◽  
Fella Hachouf ◽  
Khalifa Djemal

2015 ◽  
Vol 38 (4) ◽  
pp. 254-275 ◽  
Author(s):  
Tiexiang Wen ◽  
Jia Gu ◽  
Ling Li ◽  
Wenjian Qin ◽  
Lei Wang ◽  
...  


2019 ◽  
Vol 8 (4) ◽  
pp. 8113-8116

Medical image degradation contains a significant impact on image quality and therefore affects the human interpretation and also the accuracy of computer assisted diagnostics techniques, unfortunately ultrasound images are principally degraded by an intrinsic noise known as speckle noise. Therefore, de- speckle filtering may be pre-processing step in medical ultrasound images. During this paper we propose a new image de-noising technique is the combination of bilateral filter and wavelet transform. The main contribution of this paper is within the use of a new neighborhood relationship to develop a new multi-scale bilateral filter. Experimental outcomes validate the usefulness and also the correctness of the proposed filter in edge preservation and speckle noise reduction for medical ultrasound images.





2021 ◽  
Author(s):  
Wenchao Cui ◽  
Liangzhi Shao ◽  
Guoqiang Gong ◽  
Ke Lu ◽  
Shuifa Sun ◽  
...  


2021 ◽  
Author(s):  
Pu Cheng ◽  
Zhentao Yu ◽  
Jie Chen


2017 ◽  
Vol 78 (2) ◽  
pp. 513-533 ◽  
Author(s):  
Si Wang ◽  
Ting-Zhu Huang ◽  
Xi-Le Zhao ◽  
Jin-Jin Mei ◽  
Jie Huang


2015 ◽  
Vol 9 (2) ◽  
pp. 107-117 ◽  
Author(s):  
Deep Gupta ◽  
Barjeev Tyagi ◽  
Radhey Shyam Anand


2019 ◽  
Vol 48 ◽  
pp. 104-117 ◽  
Author(s):  
Yingyue Zhou ◽  
Hongbin Zang ◽  
Su Xu ◽  
Hongsen He ◽  
Jinzheng Lu ◽  
...  


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