Based upon the research they have carried out over the previous years in the field of denoising procedures for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. First of all, the respective techniques are reviewed and divided into five categories. After introducing some fundamental mathematical tools such as wavelet and shearlet transforms, the authors highlight five just recently established despeckling methods for medical ultrasonic images. In turn, simulations and experiments for medical ultrasonic images exist for each approach, and contrast research studies with other popular existing techniques are performed, revealing the effectiveness and supremacy of the new methods. Trainees and scientists in the field of signal and image processing, along with physician whose work involves ultrasonic diagnosis, will significantly take advantage of this book. Acquainting them with the cutting-edge in despeckling approaches for medical ultrasonic images, it offers a helpful recommendation guide for their research study and research study work.
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