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Multidimensional Processing Of Video Signals


Multidimensional Processing Of Video Signals
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Multidimensional Processing Of Video Signals


Multidimensional Processing Of Video Signals
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Author : Giovanni L. Sicuranza
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Multidimensional Processing Of Video Signals written by Giovanni L. Sicuranza and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is obtained by sampling the scene in the vertical and tem poral directions and by frequency-multiplexing the luminance and chrominance informa tion. In digital processing and transmission systems, sampling is applied in the horizontal direction, too, on a signal which has been already scanned in the vertical and temporal directions or directly in three dimensions when using some solid-state sensor. As a conse quence, in recent years it has been considered quite natural to assess the potential advan tages arising from an entire multidimensional approach to the processing of video signals. As a simple but significant example, a composite color video signal, such as the conven tional PAL or NTSC signal, possesses a three-dimensional spectrum which, by using suitable three-dimensional filters, permits horizontal sampling at a rate which is less than that re quired for correctly sampling the equivalent one-dimensional signal. More recently it has been widely recognized that the improvement of the picture quality in current and advanced television systems requires well-chosen signal processing algorithms which are multidimen sional in nature within the demanding constraints of a real-time implementation.



Multidimensional Signal Image And Video Processing And Coding


Multidimensional Signal Image And Video Processing And Coding
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Author : John W. Woods
language : en
Publisher: Academic Press
Release Date : 2011-05-31

Multidimensional Signal Image And Video Processing And Coding written by John W. Woods and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-31 with Computers categories.


Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical network coding methods for image and video transmission. There is also coverage of new approaches such as: super-resolution methods, non-local processing, and directional transforms. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview video player for playing .yuv video files on a Windows PC and an illustration of the effect of packet loss on H.264/AVC coded bitstreams. New to this edition: - New appendices on random processes, information theory - New coverage of image analysis – edge detection, linking, clustering, and segmentation - Expanded coverage on image sensing and perception, including color spaces - Now summarizes the new MPEG coding standards: scalable video coding (SVC) and multiview video coding (MVC), in addition to coverage of H.264/AVC - Updated video processing material including new example on scalable video coding and more material on object- and region-based video coding - More on video coding for networks including practical network coding (PNC), highlighting the significant advantages of PNC for both video downloading and streaming - New coverage of super-resolution methods for image and video - Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected - New chapters on introductory random processes, information theory, and image enhancement and analysis - Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)



Multidimensional Signals Processing Ai Methods And Applications


Multidimensional Signals Processing Ai Methods And Applications
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Author : Lakhmi C. Jain
language : en
Publisher: Springer Nature
Release Date : 2025-02-18

Multidimensional Signals Processing Ai Methods And Applications written by Lakhmi C. Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.


This book contains new research works presented at the Third World Conference on Intelligent and 3D Technologies (WCI3DT2024), organized by IRNet International Academic Communication Center, held in Shanghai, China during May 24-26, 2024. The main topics in this volume cover contemporary parts in the area of the multidimensional signal processing, based on deep learning and related applications. Special attention is given to neural networks, which make up the backbone of deep learning algorithms and their improvement, and research works aimed at the real-time interaction with unmanned vehicles, machine translation, cloud computing, personalized product recommendation model for autonomous robots, power production monitoring and control, optimization and acceleration of machine learning algorithms, pattern recognition, building crack detection and many others.



Multidimensional Systems Signal Processing And Modeling Techniques


Multidimensional Systems Signal Processing And Modeling Techniques
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Author :
language : en
Publisher: Elsevier
Release Date : 1995-07-13

Multidimensional Systems Signal Processing And Modeling Techniques written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-07-13 with Technology & Engineering categories.


Praise for Previous Volumes"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."-IEEE CONTROL CORRESPONDANCE" This book will help all those researchers wjo valiantly try to keep abreast of what is new in the theory and practice of optimal control."-CONTROL



New Approaches For Multidimensional Signal Processing


New Approaches For Multidimensional Signal Processing
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Author : Lakhmi C. Jain
language : en
Publisher: Springer Nature
Release Date : 2025-05-26

New Approaches For Multidimensional Signal Processing written by Lakhmi C. Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.


This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2024), held at Technical University of Sofia, Sofia, Bulgaria, during 25–27 July 2024. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional (MD) image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, MD multimedia systems, data-based MD image retrieval and knowledge data mining, jamming image recognition and surface defects segmentation, MD signal analysis aimed at medical decision support, MD image processing in robot systems, 3D and multi-view visualization in environmental art, VR and reinforcement learning applications, tensor-based mip-map implementation, recursive filtration of MD images, and many more.



Multidimensional Signals Circuits And Systems


Multidimensional Signals Circuits And Systems
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Author : Krzysztof Galkowski
language : en
Publisher: CRC Press
Release Date : 2001-05-10

Multidimensional Signals Circuits And Systems written by Krzysztof Galkowski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-10 with Technology & Engineering categories.


Although research on general multidimensional systems theory has been developing rapidly in recent years, this is the first research text to appear on the subject since the early 1980s. The text describes the current state of the art nD systems and sets out a number of open problems, and gives several different perspectives on the subject. It presents a number of different solutions to major theoretical problems as well as some interesting practical results. The book comprises of a selection of plenary and other lectures given at The First International Workshop on Multidimensional (nD) Systems (NDS-98) held in 1998 in Poland, and is written by leading world specialists in the field.



New Approaches For Multidimensional Signal Processing


New Approaches For Multidimensional Signal Processing
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Author : Roumen Kountchev
language : en
Publisher: Springer Nature
Release Date : 2022-03-21

New Approaches For Multidimensional Signal Processing written by Roumen Kountchev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Technology & Engineering categories.


This book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08–10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.



Multidimensional Digital Signal Processing


Multidimensional Digital Signal Processing
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Author : Dan E. Dudgeon
language : en
Publisher: Prentice Hall
Release Date : 1984

Multidimensional Digital Signal Processing written by Dan E. Dudgeon and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Technology & Engineering categories.


Multidimensional signals and systems. Discrete fourier analysis of multidimensional signals. Design and implementation of two-dimensional fir filters. Multidimensional recursive systems. Design and implementation of two-dimensional iir filters. Processing signals carried by propagation waves. Inverse problems.



One And Multidimensional Signal Processing


One And Multidimensional Signal Processing
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Author : Hartmut Schröder
language : en
Publisher: John Wiley & Sons
Release Date : 2000-12-19

One And Multidimensional Signal Processing written by Hartmut Schröder and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-19 with Mathematics categories.


With the constant increase in applications involving image processing and multimedia procedures digital signal processing (DSP) is important for modern information engineering. One- and Multidimensional Signal Processing provides an introduction to the algorithmic basics of image and TV communication systems as well as for systems in automation and robotic applications using sensor based imaging techniques. This novel combination of both one- and multidimensional signal processing discusses the similarities between the two and aids the understanding of one theory over the other. * Presents an applications-oriented approach to image processing including TV signal processing and discusses image scanning and the use of DSP procedures or digital filters * Provides clear and comprehensive coverage of basic concepts such as spatial frequency, spatio-temporal signal processing and the spectral representation of motion and tracking of moving objects * Features examples of applications including image pick-up and display as well as still image filtering and image sequence interpolation * Introduces new design strategies for finite-impulse response (FIR) filters for image processing applciations using spatial and frequency design constraints * Includes an introduction to nonlinear image processing techniques applying edge detection operators, morphological operators and rank order filters Such a practical book will have wide-ranging appeal as a valuable resource for researchers and developers and as an ideal introductory text for senior undergraduate and postgraduate students.



Digital Signal Processing With Kernel Methods


Digital Signal Processing With Kernel Methods
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Author : Jose Luis Rojo-Alvarez
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-05

Digital Signal Processing With Kernel Methods written by Jose Luis Rojo-Alvarez and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-05 with Technology & Engineering categories.


A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http://github.com/DSPKM • Presents the necessary basic ideas from both digital signal processing and machine learning concepts • Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing • Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.