scholarly journals Hybrid Filters based Denoising of Medical Images using Adaptive Wavelet Thresholding Algorithm

2013 ◽  
Vol 83 (3) ◽  
pp. 18-23
Author(s):  
Shruti Bhargava ◽  
Ajay Somkuwar
Keyword(s):  
Medical Images ◽  
Wavelet Thresholding ◽  
Adaptive Wavelet ◽  
Thresholding Algorithm ◽  
Hybrid Filters

Application of Adaptive Wavelet Thresholding to Ultrasonic Signal Compression of Aluminum Alloy Forgings

2013 ◽  
Vol 658 ◽  
pp. 89-92
Author(s):  
Shou Shan Liu ◽  
Chuan Jiang Wang ◽  
Li Jun Bi ◽  
Chang Zhi Lv
Keyword(s):  
Aluminum Alloy ◽  
Ultrasonic Signal ◽  
Wavelet Thresholding ◽  
Signal Compression ◽  
Hard Thresholding ◽  
Coherent Noise ◽  
Adaptive Wavelet ◽  
Effective Signal ◽  
Thresholding Algorithm ◽  
The Mathematical Model

In this paper, for the purpose of ultrasonic signal compression and the coherent noise depressing in nondestructive test of aluminum alloy forging, the mathematical model of defect echoes is discussed and confirmed. And then the wavelet kernel is also confirmed according the waveform of the defect echoes. As the algorithms of standard hard thresholding and soft thresholding of wavelet transform can not bring out effective compression and depression to the coherent noise, an adaptive wavelet thresholding algorithm is introduced. Experimental results indicate that the adaptive wavelet thresholding algorithm can offer effective signal compression and depression to the coherent noise.

scholarly journals Employing New Hybrid Adaptive Wavelet-Based Transform and Histogram Packing to Improve JP3D Compression of Volumetric Medical Images

Entropy ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. 1385
Author(s):  
Roman Starosolski
Keyword(s):  
Compression Ratio ◽  
Medical Images ◽  
Three Dimensional ◽  
Discrete Wavelet ◽  
Adaptive Wavelet ◽  
Entropy Estimation ◽  
New Methods ◽  
Adaptive Parameter ◽  
3D Dwt ◽  
Volumetric Medical Images

The primary purpose of the reported research was to improve the discrete wavelet transform (DWT)-based JP3D compression of volumetric medical images by applying new methods that were only previously used in the compression of two-dimensional (2D) images. Namely, we applied reversible denoising and lifting steps with step skipping to three-dimensional (3D)-DWT and constructed a hybrid transform that combined 3D-DWT with prediction. We evaluated these methods using a test-set containing images of modalities: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Ultrasound (US). They proved effective for 3D data resulting in over two times greater compression ratio improvements than competitive methods. While employing fast entropy estimation of JP3D compression ratio to reduce the cost of image-adaptive parameter selection for the new methods, we found that some MRI images had sparse histograms of intensity levels. We applied the classical histogram packing (HP) and found that, on average, it resulted in greater ratio improvements than the new sophisticated methods and that it could be combined with these new methods to further improve ratios. Finally, we proposed a few practical compression schemes that exploited HP, entropy estimation, and the new methods; on average, they improved the compression ratio by up to about 6.5% at an acceptable cost.

scholarly journals Baseline Adaptive Wavelet Thresholding Technique for sEMG Denoising

2011 ◽  
Author(s):  
L. Bartolomeo ◽  
M. Zecca ◽  
S. Sessa ◽  
Z. Lin ◽  
Y. Mukaeda ◽  
...  
Keyword(s):  
Wavelet Thresholding ◽  
Adaptive Wavelet
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