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 formedical ultrasonic images, it offers a useful reference guide for their study and research work.
The first book available on despeckling methods for medical ultrasound images Offers a useful reference book for study and research Includes experimental results and comparison results for various despeckling methods Systematically reviews the available methods and explores five recently developed methods in depth
Ju Zhang
Despeckling Methods Medical Ultrasonic Images Wavelet-Based Despeckling Shearlet-Transform-Based Method Fast-Bilateral Filter Guided Filter Trilateral Filter Speckle Removal Despeckle Filtering Guided Image Filtering Image Denoising Ultrasonography