Speckle noise reduction method combining total variation and wavelet shrinkage for clinical ultrasound imaging

2011 ◽  
Author(s):  
Banazier A. Abrahim ◽  
Yasser Kadah
Keyword(s):  
Noise Reduction ◽  
Total Variation ◽  
Ultrasound Imaging ◽  
Reduction Method ◽  
Speckle Noise ◽  
Wavelet Shrinkage ◽  
Speckle Noise Reduction

Total variation with overlapping group sparsity for speckle noise reduction

2016 ◽  
Vol 216 ◽  
pp. 502-513 ◽  
Author(s):  
Jun Liu ◽  
Ting-Zhu Huang ◽  
Gang Liu ◽  
Si Wang ◽  
Xiao-Guang Lv
Keyword(s):  
Noise Reduction ◽  
Total Variation ◽  
Speckle Noise ◽  
Group Sparsity ◽  
Overlapping Group Sparsity ◽  
Speckle Noise Reduction

Speckle-noise-reduction method of projecting interferometry fringes based on power spectrum density

2012 ◽  
Vol 51 (29) ◽  
pp. 6974 ◽  
Author(s):  
Liping Zhou ◽  
Jianghong Gan ◽  
Xiaojun Liu ◽  
Long Xu ◽  
Wenlong Lu
Keyword(s):  
Power Spectrum ◽  
Noise Reduction ◽  
Reduction Method ◽  
Speckle Noise ◽  
Power Spectrum Density ◽  
Spectrum Density ◽  
Speckle Noise Reduction

Speckle Noise Reduction in ESPI Fringes Using Wavelet Shrinkage

2000 ◽  
pp. 397-404 ◽  
Author(s):  
Alejandro Federico ◽  
Guillermo H. Kaufmann ◽  
Eduardo P. Serrano
Keyword(s):  
Noise Reduction ◽  
Speckle Noise ◽  
Wavelet Shrinkage ◽  
Speckle Noise Reduction

scholarly journals Speckle Noise Reduction in B-mode Ultrasound Imaging

2011 ◽  
pp. 47-51
Author(s):  
Arun Bhatia
Keyword(s):  
Noise Reduction ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Wavelet Transformation ◽  
Low Cost ◽  
Diagnostic Technique ◽  
Speckle Noise ◽  
Daubechies Wavelet ◽  
Medical Diagnostic ◽  
Speckle Noise Reduction

Ultrasound is a widely used and safe medical diagnostic technique, due to low cost and capability of forming real time imaging. The usefulness of ultrasound imaging is degraded by the presence of signal dependant noise known as speckle. In this paper we make use of daubechies wavelet transformation, Wiener and employing an adaptive thresholding technique in order to improve the performance of this denosing approach the log transformed observation is separated into two images. The summation of these two images constructs the despeckled image.

A Speckle Noise Reduction Method for Lensless Fourier Transform Digital Holography

2018 ◽  
Vol 55 (11) ◽  
pp. 110901
Author(s):  
梁明大 Liang Mingda ◽  
陈丽 Chen Li ◽  
林伟涛 Lin Weitao ◽  
陈永昊 Chen Yonghao
Keyword(s):  
Fourier Transform ◽  
Noise Reduction ◽  
Digital Holography ◽  
Reduction Method ◽  
Speckle Noise ◽  
Speckle Noise Reduction
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