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Despeckling Methods for Medical Ultrasound Images [electronic resource] / by Ju Zhang, Yun Cheng.

By: Zhang, Ju [author.].
Contributor(s): Cheng, Yun [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XV, 142 p. 80 illus., 38 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811505164.Subject(s): Signal processing | Biomedical engineering | Ultrasonics | Signal, Speech and Image Processing | Biomedical Engineering and Bioengineering | UltrasonicsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introductions -- Despeckle Filters for Medical Ultrasound Images -- Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images -- Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter -- Despeckling Method for Medical Images Based on Wavelet and Trilateral Filter -- Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images. .
In: Springer Nature eBookSummary: Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods for medical ultrasonic images, it offers a useful reference guide for their study and research work.
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Introductions -- Despeckle Filters for Medical Ultrasound Images -- Wavelet and Fast Bilateral Filter Based Despeckling Method for Medical Ultrasound Images -- Despeckle Filtering of Medical Ultrasonic Images Using Wavelet and Guided Filter -- Despeckling Method for Medical Images Based on Wavelet and Trilateral Filter -- Nonsubsampled Shearlet and Guided Filter Based Despeckling Method for Medical Ultrasound Images. .

Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods for medical ultrasonic images, it offers a useful reference guide for their study and research work.

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