Multidimensional Processing Of Video Signals

Author : Giovanni L. Sicuranza
Publisher : Springer Science & Business Media
ISBN 13 : 1461536162
Total Pages : 191 pages
Book Rating : 4.61/5 ( download)

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Download or read book Multidimensional Processing of Video Signals written by Giovanni L. Sicuranza and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : John W. Woods
Publisher : Academic Press
ISBN 13 : 0123814200
Total Pages : 618 pages
Book Rating : 4.03/5 ( download)

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Download or read book Multidimensional Signal, Image, and Video Processing and Coding written by John W. Woods and published by Academic Press. This book was released on 2011-06-17 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fully revised and expanded edition gives readers the necessary understanding of image and video processing concepts to contribute to this hot technology's future advances. Important new topics include introductory random processes, image enhancement and analysis, and the new MPEG scalable video coding standard.

Author : John William Woods
Publisher :
ISBN 13 :
Total Pages : 493 pages
Book Rating : 4.15/5 ( download)

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Download or read book Multidimensional Signal, Image, and Video Processing and Coding written by John William Woods and published by . This book was released on 2006 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Dan E. Dudgeon
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.44/5 ( download)

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Download or read book Multidimensional Digital Signal Processing written by Dan E. Dudgeon and published by Prentice Hall. This book was released on 1984 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Alexandre Smirnov
Publisher : Springer Science & Business Media
ISBN 13 : 3662038552
Total Pages : 277 pages
Book Rating : 4.50/5 ( download)

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Download or read book Processing of Multidimensional Signals written by Alexandre Smirnov and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multidimensional or spatio-temporal signals are important in image processing and television. This book presents the mathematical methods for processing multidimensional signals. It describes applications in system analysis, measurement and optimization and signal restoration, with varying examples of applications.

Author : Eric Dubois
Publisher : John Wiley & Sons
ISBN 13 : 1119111749
Total Pages : 364 pages
Book Rating : 4.40/5 ( download)

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Download or read book Multidimensional Signal and Color Image Processing Using Lattices written by Eric Dubois and published by John Wiley & Sons. This book was released on 2019-04-29 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Innovative Approach to Multidimensional Signals and Systems Theory for Image and Video Processing In this volume, Eric Dubois further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the reader to crucial concepts in signal processing such as continuous- and discrete-domain signals and systems, discrete-domain periodic signals, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized representations for non-rectangular sampling, this approach obscures much of the geometrical and scale information of the signal. In contrast, Dr. Dubois uses actual units of space-time and frequency. Basis-independent representations appear as much as possible, and the basis is introduced where needed to perform calculations or implementations. Thus, lattice theory is developed from the beginning and rectangular sampling is treated as a special case. This is especially significant in the treatment of color and color image processing and for discrete transform representations based on symmetry groups, including fast computational algorithms. Other features include: An entire chapter on lattices, giving the reader a thorough grounding in the use of lattices in signal processing Extensive treatment of lattices as used to describe discrete-domain signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and multidimensional Fourier transformation properties Supplemented throughout with MATLAB examples and accompanying downloadable source code Graduate and doctoral students as well as senior undergraduates and professionals working in signal processing or video/image processing and imaging will appreciate this fresh approach to multidimensional signals and systems theory, both as a thorough introduction to the subject and as inspiration for future research.

Author : Lakhmi C. Jain
Publisher : Springer Nature
ISBN 13 : 981192452X
Total Pages : 237 pages
Book Rating : 4.21/5 ( download)

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Download or read book 3D Imaging—Multidimensional Signal Processing and Deep Learning written by Lakhmi C. Jain and published by Springer Nature. This book was released on 2022-08-23 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers aimed at the multidimensional systems and signal processing, deep learning, mathematical approaches and the related applications. The related topics are multidimensional multi-component image processing; multidimensional image representation and super-resolution; compression of multidimensional spatio-temporal images; multidimensional image transmission systems; multidimensional signal processing; prediction and filtering of multidimensional process; intelligent multi-spectral and hyper-spectral image processing, intelligent multi-view image processing, 3D deep learning, 3D GIS and graphic database; data-based MD image retrieval and knowledge data mining; watermarking, hiding and encryption of MD images; intelligent visualization of MD images; forensic analysis systems for M3D graphics algorithm; 3D VR (Virtual Reality)/AR (Augmented Reality); applications of multidimensional signal processing; applications of multidimensional systems; multidimensional filters and filter-banks.

Author : Eric Dubois
Publisher : John Wiley & Sons
ISBN 13 : 1119111765
Total Pages : 488 pages
Book Rating : 4.64/5 ( download)

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Download or read book Multidimensional Signal and Color Image Processing Using Lattices written by Eric Dubois and published by John Wiley & Sons. This book was released on 2019-03-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Innovative Approach to Multidimensional Signals and Systems Theory for Image and Video Processing In this volume, Eric Dubois further develops the theory of multi-D signal processing wherein input and output are vector-value signals. With this framework, he introduces the reader to crucial concepts in signal processing such as continuous- and discrete-domain signals and systems, discrete-domain periodic signals, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized representations for non-rectangular sampling, this approach obscures much of the geometrical and scale information of the signal. In contrast, Dr. Dubois uses actual units of space-time and frequency. Basis-independent representations appear as much as possible, and the basis is introduced where needed to perform calculations or implementations. Thus, lattice theory is developed from the beginning and rectangular sampling is treated as a special case. This is especially significant in the treatment of color and color image processing and for discrete transform representations based on symmetry groups, including fast computational algorithms. Other features include: An entire chapter on lattices, giving the reader a thorough grounding in the use of lattices in signal processing Extensive treatment of lattices as used to describe discrete-domain signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and multidimensional Fourier transformation properties Supplemented throughout with MATLAB examples and accompanying downloadable source code Graduate and doctoral students as well as senior undergraduates and professionals working in signal processing or video/image processing and imaging will appreciate this fresh approach to multidimensional signals and systems theory, both as a thorough introduction to the subject and as inspiration for future research.

Author : Srikanta Patnaik
Publisher : Springer Nature
ISBN 13 : 9819911451
Total Pages : 283 pages
Book Rating : 4.55/5 ( download)

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Download or read book 3D Imaging—Multidimensional Signal Processing and Deep Learning written by Srikanta Patnaik and published by Springer Nature. This book was released on 2023-04-27 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

Author :
Publisher : Elsevier
ISBN 13 : 0080529852
Total Pages : 455 pages
Book Rating : 4.51/5 ( download)

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Download or read book Multidimensional Systems: Signal Processing and Modeling Techniques written by and published by Elsevier. This book was released on 1995-07-13 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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