Splitting Methods in Communication, Imaging, Science, and Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Splitting Methods in Communication, Imaging, Science, and Engineering write by Roland Glowinski. This book was released on 2017-01-05. Splitting Methods in Communication, Imaging, Science, and Engineering available in PDF, EPUB and Kindle. This book is about computational methods based on operator splitting. It consists of twenty-three chapters written by recognized splitting method contributors and practitioners, and covers a vast spectrum of topics and application areas, including computational mechanics, computational physics, image processing, wireless communication, nonlinear optics, and finance. Therefore, the book presents very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 write by . This book was released on 2019-10-16. Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 available in PDF, EPUB and Kindle. Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more. Covers contemporary developments relating to the analysis and learning of images, shapes and forms Presents mathematical models and quick computational techniques relating to the topic Provides broad coverage, with sample chapters presenting content on Alternating Diffusion and Generating Structured TV-based Priors and Associated Primal-dual Methods
Processing, Analyzing and Learning of Images, Shapes, and Forms:
Processing, Analyzing and Learning of Images, Shapes, and Forms: - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Processing, Analyzing and Learning of Images, Shapes, and Forms: write by Xue-Cheng Tai. This book was released on 2019-10. Processing, Analyzing and Learning of Images, Shapes, and Forms: available in PDF, EPUB and Kindle. Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more. Covers contemporary developments relating to the analysis and learning of images, shapes and forms Presents mathematical models and quick computational techniques relating to the topic Provides broad coverage, with sample chapters presenting content on Alternating Diffusion and Generating Structured TV-based Priors and Associated Primal-dual Methods
Regularized Image Reconstruction in Parallel MRI with MATLAB
Regularized Image Reconstruction in Parallel MRI with MATLAB - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regularized Image Reconstruction in Parallel MRI with MATLAB write by Joseph Suresh Paul. This book was released on 2019-11-05. Regularized Image Reconstruction in Parallel MRI with MATLAB available in PDF, EPUB and Kindle. Regularization becomes an integral part of the reconstruction process in accelerated parallel magnetic resonance imaging (pMRI) due to the need for utilizing the most discriminative information in the form of parsimonious models to generate high quality images with reduced noise and artifacts. Apart from providing a detailed overview and implementation details of various pMRI reconstruction methods, Regularized image reconstruction in parallel MRI with MATLAB examples interprets regularized image reconstruction in pMRI as a means to effectively control the balance between two specific types of error signals to either improve the accuracy in estimation of missing samples, or speed up the estimation process. The first type corresponds to the modeling error between acquired and their estimated values. The second type arises due to the perturbation of k-space values in autocalibration methods or sparse approximation in the compressed sensing based reconstruction model. Features: Provides details for optimizing regularization parameters in each type of reconstruction. Presents comparison of regularization approaches for each type of pMRI reconstruction. Includes discussion of case studies using clinically acquired data. MATLAB codes are provided for each reconstruction type. Contains method-wise description of adapting regularization to optimize speed and accuracy. This book serves as a reference material for researchers and students involved in development of pMRI reconstruction methods. Industry practitioners concerned with how to apply regularization in pMRI reconstruction will find this book most useful.
Nanoscale Photonic Imaging
Nanoscale Photonic Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nanoscale Photonic Imaging write by Tim Salditt. This book was released on 2020-06-09. Nanoscale Photonic Imaging available in PDF, EPUB and Kindle. This open access book, edited and authored by a team of world-leading researchers, provides a broad overview of advanced photonic methods for nanoscale visualization, as well as describing a range of fascinating in-depth studies. Introductory chapters cover the most relevant physics and basic methods that young researchers need to master in order to work effectively in the field of nanoscale photonic imaging, from physical first principles, to instrumentation, to mathematical foundations of imaging and data analysis. Subsequent chapters demonstrate how these cutting edge methods are applied to a variety of systems, including complex fluids and biomolecular systems, for visualizing their structure and dynamics, in space and on timescales extending over many orders of magnitude down to the femtosecond range. Progress in nanoscale photonic imaging in Göttingen has been the sum total of more than a decade of work by a wide range of scientists and mathematicians across disciplines, working together in a vibrant collaboration of a kind rarely matched. This volume presents the highlights of their research achievements and serves as a record of the unique and remarkable constellation of contributors, as well as looking ahead at the future prospects in this field. It will serve not only as a useful reference for experienced researchers but also as a valuable point of entry for newcomers.
