Blue Noise And Optimal Sampling On Graphs
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Generalized Blue Noise Sampling On Graphs And Applications
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Author : Maria Daniela Dapena Rivero
language : en
Publisher:
Release Date : 2022
Generalized Blue Noise Sampling On Graphs And Applications written by Maria Daniela Dapena Rivero and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Graph Signal Processing (GSP) extends classical signal processing to the analysis of signals supported over irregular grids represented by graphs. Sampling and reconstruction are fundamental tools that have received considerable attention in GSP. Under the assumption that adjacent nodes tend to have similar signal values, a reconstruction method that recovers a signal by minimizing its variation with respect to the graph structure is proposed. To this end, the mean square error of the recovered signal is minimized by sampling sets whose spectrum presents high-frequency dominance, a characteristic present in blue-noise patterns that suppress the low-frequency components by maximizing the inter-sample distance. Blue-noise sampling has many advantages, including the possibility of finding close to optimal sampling performance using simple distance concepts. However, the formulation of blue-noise sampling is restricted to graphs with regular structures, and most applications involve irregular graphs. Thus, the underlying principles of blue-noise sampling need to be considered in a broader sense. Another limitation of blue noise is its high computational complexity, limiting its use to small graphs. This work overcomes these limitations and generalizes blue-noise sampling to large and irregular graphs. First, blue-noise sampling is generalized to irregular graphs by regularizing the weights across the edges of the graph before sampling, such that the concentration of samples is adapted to the local density of nodes. Secondly, a new and scalable approach can be easily parallelized to leverage the massive parallel processing power readily available in commodity hardware is proposed. The proposed method uses graph partitioning algorithms in concert with vertex-domain blue-noise sampling to develop two sampling schemes that minimize the recovery error and are based on the spatial characteristic of the graph. The first sampling scheme combines graph partitioning with the void-and-cluster algorithm. The second approach uses error diffusion in the partitions. Experiments on synthetic and real data show the effectiveness of these new approaches on very large graphs. Then, the partitions are used to recover the signal by adding some overlapping, which induces smoothness in the recovered signal within and between partitions. Finally, the benefits of blue-noise sampling on graphs are extended outside of GSP to the active form of semi-supervised learning to reduce the amount of labeled data needed by the machine learning algorithms to achieve high accuracy.
Blue Noise And Optimal Sampling On Graphs
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Author : Alejandro Parada-Mayorga
language : en
Publisher:
Release Date : 2019
Blue Noise And Optimal Sampling On Graphs written by Alejandro Parada-Mayorga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
In the second part of this dissertation we consider the problem of sampling on regular grids for compressed sensing applications. We design optimal sampling patterns in coded apertures for CASSI systems and compressive X-ray tomosynthesis architectures, providing closed form solutions that outperform the results achieved using designs obtained with previous approaches, at a very low computational cost. Additionally, a rigorous estimate of the spectral resolution in general colored CASSI systems is provided exploiting the structure of the non-ideal sampling patterns obtained when wide spectral filters are considered.
Artificial Intelligence
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2021-10-28
Artificial Intelligence written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Computers categories.
Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.
Vision Modeling And Visualization 2006
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Author : Leif Kobbelt
language : en
Publisher: IOS Press
Release Date : 2006
Vision Modeling And Visualization 2006 written by Leif Kobbelt and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
Summary: "These proceedings include the contributions to the 11th international Workshop Vision, Modeling, and Visualization 2006 held in Aachen, Germany. The papers cover the following topics: Image-based Reconstruction -- Textures and Rendering -- GPU-Programming -- Simulation and Visualization -- Image Processing -- Volume Visualization -- Geometry Processing and Rendering."--Publisher description.
Frontiers Of Computer Vision
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Author : Hieyong Jeong
language : en
Publisher: Springer Nature
Release Date : 2021-07-14
Frontiers Of Computer Vision written by Hieyong Jeong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Computers categories.
This book constitutes refereed proceedings of the 27th International Workshop Frontiers of Computer Vision, IW-FCV 2021, held in Daegu, South Korea, in February 2021. The 17 full papers and 8 short papers presented were thoroughly reviewed and selected from 44 submissions. The papers in the volume are organized according to the following topics: real-world applications; segmentation / object tracking; recognition; human behaviour; algorithm / application.
Cooperative And Graph Signal Processing
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Author : Petar Djuric
language : en
Publisher: Academic Press
Release Date : 2018-07-04
Cooperative And Graph Signal Processing written by Petar Djuric and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-04 with Computers categories.
Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book
Efficient Quadrature Rules For Illumination Integrals
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Author : Ricardo Marques
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Efficient Quadrature Rules For Illumination Integrals written by Ricardo Marques and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.
Rendering photorealistic images is a costly process which can take up to several days in the case of high quality images. In most cases, the task of sampling the incident radiance function to evaluate the illumination integral is responsible for an important share of the computation time. Therefore, to reach acceptable rendering times, the illumination integral must be evaluated using a limited set of samples. Such a restriction raises the question of how to obtain the most accurate approximation possible with such a limited set of samples. One must thus ensure that sampling produces the highest amount of information possible by carefully placing and weighting the limited set of samples. Furthermore, the integral evaluation should take into account not only the information brought by sampling but also possible information available prior to sampling, such as the integrand smoothness. This idea of sparse information and the need to fully exploit the little information available is present throughout this book. The presented methods correspond to the state-of-the-art solutions in computer graphics, and take into account information which had so far been underexploited (or even neglected) by the previous approaches. The intended audiences are Ph.D. students and researchers in the field of realistic image synthesis or global illumination algorithms, or any person with a solid background in graphics and numerical techniques.
Advances In Computer Graphics
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Author : Nadia Magnenat-Thalmann
language : en
Publisher: Springer Nature
Release Date : 2021-10-10
Advances In Computer Graphics written by Nadia Magnenat-Thalmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-10 with Computers categories.
This book constitutes the refereed proceedings of the 38th Computer Graphics International Conference, CGI 2021, held virtually in September 2021. The 44 full papers presented together with 9 short papers were carefully reviewed and selected from 131 submissions. The papers are organized in the following topics: computer animation; computer vision; geometric computing; human poses and gestures; image processing; medical imaging; physics-based simulation; rendering and textures; robotics and vision; visual analytics; VR/AR; and engage.
Journal Of Graphics Tools
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Author :
language : en
Publisher:
Release Date : 2006
Journal Of Graphics Tools written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer graphics categories.
Optimization And Learning
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Author : Bernabé Dorronsoro
language : en
Publisher: Springer Nature
Release Date : 2023-05-26
Optimization And Learning written by Bernabé Dorronsoro and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Computers categories.
This book constitutes the refereed proceedings of the 6th International Conference on Optimization and Learning, OLA 2023, held in Malaga, Spain, during May 3–5, 2023. The 32 full papers included in this book were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: advanced optimization; learning; learning methods to enhance optimization tools; optimization applied to learning methods; and real-world applications.