NDLI: Denoising of ultrasound images affected by combined speckle and Gaussian noise

Content Provider	IET Digital Library
Author	Mafi, Mehdi Tabarestani, Solale Cabrerizo, Mercedes Barreto, Armando Adjouadi, Malek
Abstract	This study introduces an image denoising method in the presence of combined speckle and Gaussian noise. The dual-tree complex wavelet transform is applied to the image in order to obtain specific coefficients characterising these types of noise. Then, these extracted coefficients are removed by thresholding and an inverse wavelet transform is applied in order to obtain the reconstructed image. A comparison between the dual-tree and standard wavelet-based denoising filters is provided on the basis of different structural metrics. Finally, in order to remove any remaining noise, a spatial denoising filter is applied to the image. The results obtained on medical ultrasound images corrupted by this noise combination support the authors’ assertion on the method's resilience to the combined effects of speckle and Gaussian noise, and are compared to well-known and most effective speckle–Gaussian denoising filters.
Starting Page	2346
Ending Page	2351
Page Count	6
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 12, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5292
Journal	IET Image Processing
Publisher Date	2018-09-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Ultrasonics Combined Speckle Computer Vision And Image Processing Technique Dual-tree Complex Wavelet Effective Speckle–Gaussian Extracted Coefficient Filtering Method in Signal Processing Filtering Theory Gaussian Noise Image Denoising Image Denoising Method Image Reconstruction Integral Transforms Inverse Wavelet Medical Image Processing Medical Ultrasound Image Noise Combination Support Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Reconstructed Image Remaining Noise Sonic And Ultrasonic Radiation Spatial Denoising Filter Specific Coefficient Speckle Standard Wavelet-based Denoising Statistics Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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