Giuseppe Patanè – författare
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3 produkter
3 produkter
Häftad, Engelska, 2016
491 kr
Skickas inom 10-15 vardagar
To this end, it presents and compares methods that process and analyze the massive amount of geospatial data in order to support better management of societal challenges through more timely and better decision making, independent of a specific data modeling paradigm (e.g., 2D vector data, regular grids or 3D point clouds).
Häftad, Engelska, 2017
383 kr
Skickas inom 10-15 vardagar
In geometry processing and shape analysis, several applications have been addressed through the properties of the Laplacian spectral kernels and distances, such as commute time, biharmonic, diffusion, and wave distances.Within this context, this book is intended to provide a common background on the definition and computation of the Laplacian spectral kernels and distances for geometry processing and shape analysis. To this end, we define a unified representation of the isotropic and anisotropic discrete Laplacian operator on surfaces and volumes; then, we introduce the associated differential equations, i.e., the harmonic equation, the Laplacian eigenproblem, and the heat equation. Filtering the Laplacian spectrum, we introduce the Laplacian spectral distances, which generalize the commute-time, biharmonic, diffusion, and wave distances, and their discretization in terms of the Laplacian spectrum. As main applications, we discuss the design of smooth functions and the Laplacian smoothing of noisy scalar functions.All the reviewed numerical schemes are discussed and compared in terms of robustness, approximation accuracy, and computational cost, thus supporting the reader in the selection of the most appropriate with respect to shape representation, computational resources, and target application.
Inbunden, Engelska, 2026
561 kr
Skickas inom 10-15 vardagar
This book provides valuable insights for researchers, clinicians, and developers working at the intersection of medical imaging and real-time signal processing. It delivers a clear and in-depth exploration of advanced techniques for real-time ultrasound (US) image processing, with a particular emphasis on state-of-the-art denoising and super-resolution methods. Ultrasound is one of the most widely used imaging modalities in medicine - valued for its affordability, portability, and safety. However, challenges such as speckle noise and limited resolution can hinder its diagnostic potential. This book addresses these issues head-on, presenting real-time techniques that significantly enhance image quality and support more accurate clinical interpretation. From static US images to dynamic 2D videos and 3D volumes, the book discusses how real-time processing can improve US images for disease diagnosis and tracking. Readers will gain a comprehensive understanding of current solutions, including comparative reviews of existing methods, practical insights into implementation, and analysis of both computational demands and hardware requirements. Whether the reader is designing medical imaging software, conducting research, or seeking to optimise clinical workflows, this book offers both the technical depth and real-world perspective needed to advance your work in ultrasound imaging.