From Nonlinear Digital Filters to Shearlet Transform: A Comparative Evaluation of Denoising Filters Applied on Ultrasound Images

Ultrasound images suffer from poor bone and air penetration, lighting conditions, light scattering, bending, absorption, and reflection. The blur and noise present in the image may be removed by suitable denoising algorithms, so that the preprocessed image will provide better results in further processing. Various denoising algorithms are analyzed, and the results are compared with denoising performance evaluation metrics like PSNR, Mean Square Error, Structural Similarity, and Correlation.

[1]  Jonathan Li,et al.  SAR Image Denoising via Clustering-Based Principal Component Analysis , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Jon Atli Benediktsson,et al.  Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Marcos Martin-Fernandez,et al.  Anisotropic Diffusion Filter With Memory Based on Speckle Statistics for Ultrasound Images , 2015, IEEE Transactions on Image Processing.

[4]  Caiming Zhang,et al.  Patch Grouping SVD-Based Denoising Aggregation Patch Grouping SVD-Based Denoising Aggregation Back Projection Noisy Image , 2015 .

[5]  Xia Wang,et al.  Non-Local Means Image Denoising With a Soft Threshold , 2015, IEEE Signal Processing Letters.

[6]  Giuseppe Papari,et al.  Fast Bilateral Filtering for Denoising Large 3D Images , 2017, IEEE Transactions on Image Processing.

[7]  Salim Lahmiri.  Denoising techniques in adaptive multi-resolution domains with applications to biomedical images. , 2017, Healthcare technology letters.

[8]  Shuyuan Yang,et al.  Image Noise Reduction via Geometric Multiscale Ridgelet Support Vector Transform and Dictionary Learning , 2013, IEEE Transactions on Image Processing.

[9]  Coloma Ballester,et al.  Affine Non-Local Means Image Denoising , 2017, IEEE Transactions on Image Processing.

[10]  J. Jennifer Ranjani,et al.  Bayesian denoising of ultrasound images using heavy-tailed Levy distribution , 2015, IET Image Process..

[11]  Robert Wang,et al.  Interferometric Phase Denoising by Median Patch-Based Locally Optimal Wiener Filter , 2015, IEEE Geoscience and Remote Sensing Letters.

[12]  G. Sasibhushana Rao,et al.  Comparative Analysis of Wavelet Thresholding Techniques with Wavelet-wiener Filter on ECG Signal , 2016 .