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The emergence of video processing tools : television becoming unglued / / edited by Kathy High, Sherry Miller Hocking and Mona Jimenez
The emergence of video processing tools : television becoming unglued / / edited by Kathy High, Sherry Miller Hocking and Mona Jimenez
Pubbl/distr/stampa Bristol, England ; ; Chicago, Illinois : , : Intellect Ltd, , 2014
Descrizione fisica 1 online resource (738 p.)
Disciplina 776.6
Soggetto topico Image processing - Data processing
Art and science
Soggetto genere / forma Electronic books.
ISBN 1-78320-301-3
1-78320-300-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Volume 1; Half-title; Title; Copyright; Dedication; Contents; ACKNOWLEDGMENTS; PREFACE; SECTION 1: HISTORIES; Introduction; Beginnings (with Artist Manifestos); Mapping Video Art as Category, or an Archaeology of the Conceptualizations of Video; Impulses - Tools; The Art-Style Computer-Processing System, 1974; Machine Aesthetics Are Always Modern; Electronic Video Instruments and Public Sector Funding; TV Lab: Image-making Tools; The New Television workshop at WGBH, Boston; The National Center for Experiments in Television at KQED-TV, San Francisco
The Experimental Television Center: Advancing Alternative Production Resources, Artist Collectives and Electronic Video-Imaging Systems Interstitial Images: Histories; SECTION 2: PEOPLE AND NETWORKS; Introduction; From Component Level: Interview with LoVid; Memory Series - Phosphography in CRT 5"", Mexico, 2005; The Rhetoric of Soft Tools; Jeremy Bailey and His 'Total Symbiotic Art System'; De-commodification of Artworks: Networked Fantasy of the open; Virtuosity as Creative Freedom; Distribution Religion; A Toy for a Toy; woody Vasulka: Dialogue with the (Demons in the) Tool
A Demo Tape on How to Play Video on a Violin Application to the Guggenheim Foundation, 1980; Thoughts on Collaboration: Art and Technology; Interstitial Images: People and Networks; INDEX; COLOR PLATES; Volume 2; Half-Title; Title; Copyright; Dedication; Contents; SECTION 3: TOOLS; Introduction; Mods, Pods and Designs: Designing Tools and Systems; Computer-Based Video Synthesizer System, ETC; Design/Electronic Arts: The Buffalo Conference, March 10-13, 1977; Instruments, Apparel, Apparatus: An Essay of Definitions
Expanding 'Image-processed Video' as Art: Subverting and Building Control Systems The Grammar of Electronic Image Processing; ETC's System; On Voltage Control: An Interview With Hank Rudolph; "Insofar as the rose can remember..."; Analog to Digital: Artists Using Technology; Analog Meets Digital In and Around the Experimental Television Center; Multi-tracking Control Voltages: HARPO; Finding the Tiny Dot: Designing Pantomation; Preserving Machines; A Catalog Record for the Raster Manipulation Unit; Copying-It-Right: Archiving the Media Art of Phil Morton
Proposal for Low-cost Retrieval of Early Videotapes Produced on Obsolete Equipment and/or Videotape That Will Not Play Back, or Resurrection Bus (1980)Interstitial Images: Tools; AUTHOR BIOGRAPHIES; INDEX; COLOR PLATES; Back Cover
Record Nr. UNINA-9910453859003321
Bristol, England ; ; Chicago, Illinois : , : Intellect Ltd, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The emergence of video processing tools : television becoming unglued / / edited by Kathy High, Sherry Miller Hocking and Mona Jimenez
The emergence of video processing tools : television becoming unglued / / edited by Kathy High, Sherry Miller Hocking and Mona Jimenez
Pubbl/distr/stampa Bristol, England ; ; Chicago, Illinois : , : Intellect Ltd, , 2014
Descrizione fisica 1 online resource (738 p.)
Disciplina 776.6
Soggetto topico Image processing - Data processing
Art and science
ISBN 1-78320-301-3
1-78320-300-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Volume 1; Half-title; Title; Copyright; Dedication; Contents; ACKNOWLEDGMENTS; PREFACE; SECTION 1: HISTORIES; Introduction; Beginnings (with Artist Manifestos); Mapping Video Art as Category, or an Archaeology of the Conceptualizations of Video; Impulses - Tools; The Art-Style Computer-Processing System, 1974; Machine Aesthetics Are Always Modern; Electronic Video Instruments and Public Sector Funding; TV Lab: Image-making Tools; The New Television workshop at WGBH, Boston; The National Center for Experiments in Television at KQED-TV, San Francisco
The Experimental Television Center: Advancing Alternative Production Resources, Artist Collectives and Electronic Video-Imaging Systems Interstitial Images: Histories; SECTION 2: PEOPLE AND NETWORKS; Introduction; From Component Level: Interview with LoVid; Memory Series - Phosphography in CRT 5"", Mexico, 2005; The Rhetoric of Soft Tools; Jeremy Bailey and His 'Total Symbiotic Art System'; De-commodification of Artworks: Networked Fantasy of the open; Virtuosity as Creative Freedom; Distribution Religion; A Toy for a Toy; woody Vasulka: Dialogue with the (Demons in the) Tool
A Demo Tape on How to Play Video on a Violin Application to the Guggenheim Foundation, 1980; Thoughts on Collaboration: Art and Technology; Interstitial Images: People and Networks; INDEX; COLOR PLATES; Volume 2; Half-Title; Title; Copyright; Dedication; Contents; SECTION 3: TOOLS; Introduction; Mods, Pods and Designs: Designing Tools and Systems; Computer-Based Video Synthesizer System, ETC; Design/Electronic Arts: The Buffalo Conference, March 10-13, 1977; Instruments, Apparel, Apparatus: An Essay of Definitions
Expanding 'Image-processed Video' as Art: Subverting and Building Control Systems The Grammar of Electronic Image Processing; ETC's System; On Voltage Control: An Interview With Hank Rudolph; "Insofar as the rose can remember..."; Analog to Digital: Artists Using Technology; Analog Meets Digital In and Around the Experimental Television Center; Multi-tracking Control Voltages: HARPO; Finding the Tiny Dot: Designing Pantomation; Preserving Machines; A Catalog Record for the Raster Manipulation Unit; Copying-It-Right: Archiving the Media Art of Phil Morton
Proposal for Low-cost Retrieval of Early Videotapes Produced on Obsolete Equipment and/or Videotape That Will Not Play Back, or Resurrection Bus (1980)Interstitial Images: Tools; AUTHOR BIOGRAPHIES; INDEX; COLOR PLATES; Back Cover
Record Nr. UNINA-9910790922503321
Bristol, England ; ; Chicago, Illinois : , : Intellect Ltd, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The emergence of video processing tools : television becoming unglued / / edited by Kathy High, Sherry Miller Hocking and Mona Jimenez
The emergence of video processing tools : television becoming unglued / / edited by Kathy High, Sherry Miller Hocking and Mona Jimenez
Pubbl/distr/stampa Bristol, England ; ; Chicago, Illinois : , : Intellect Ltd, , 2014
Descrizione fisica 1 online resource (738 p.)
Disciplina 776.6
Soggetto topico Image processing - Data processing
Art and science
ISBN 1-78320-301-3
1-78320-300-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Volume 1; Half-title; Title; Copyright; Dedication; Contents; ACKNOWLEDGMENTS; PREFACE; SECTION 1: HISTORIES; Introduction; Beginnings (with Artist Manifestos); Mapping Video Art as Category, or an Archaeology of the Conceptualizations of Video; Impulses - Tools; The Art-Style Computer-Processing System, 1974; Machine Aesthetics Are Always Modern; Electronic Video Instruments and Public Sector Funding; TV Lab: Image-making Tools; The New Television workshop at WGBH, Boston; The National Center for Experiments in Television at KQED-TV, San Francisco
The Experimental Television Center: Advancing Alternative Production Resources, Artist Collectives and Electronic Video-Imaging Systems Interstitial Images: Histories; SECTION 2: PEOPLE AND NETWORKS; Introduction; From Component Level: Interview with LoVid; Memory Series - Phosphography in CRT 5"", Mexico, 2005; The Rhetoric of Soft Tools; Jeremy Bailey and His 'Total Symbiotic Art System'; De-commodification of Artworks: Networked Fantasy of the open; Virtuosity as Creative Freedom; Distribution Religion; A Toy for a Toy; woody Vasulka: Dialogue with the (Demons in the) Tool
A Demo Tape on How to Play Video on a Violin Application to the Guggenheim Foundation, 1980; Thoughts on Collaboration: Art and Technology; Interstitial Images: People and Networks; INDEX; COLOR PLATES; Volume 2; Half-Title; Title; Copyright; Dedication; Contents; SECTION 3: TOOLS; Introduction; Mods, Pods and Designs: Designing Tools and Systems; Computer-Based Video Synthesizer System, ETC; Design/Electronic Arts: The Buffalo Conference, March 10-13, 1977; Instruments, Apparel, Apparatus: An Essay of Definitions
Expanding 'Image-processed Video' as Art: Subverting and Building Control Systems The Grammar of Electronic Image Processing; ETC's System; On Voltage Control: An Interview With Hank Rudolph; "Insofar as the rose can remember..."; Analog to Digital: Artists Using Technology; Analog Meets Digital In and Around the Experimental Television Center; Multi-tracking Control Voltages: HARPO; Finding the Tiny Dot: Designing Pantomation; Preserving Machines; A Catalog Record for the Raster Manipulation Unit; Copying-It-Right: Archiving the Media Art of Phil Morton
Proposal for Low-cost Retrieval of Early Videotapes Produced on Obsolete Equipment and/or Videotape That Will Not Play Back, or Resurrection Bus (1980)Interstitial Images: Tools; AUTHOR BIOGRAPHIES; INDEX; COLOR PLATES; Back Cover
Record Nr. UNINA-9910814507503321
Bristol, England ; ; Chicago, Illinois : , : Intellect Ltd, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fringe pattern analysis for optical metrology : theory, algorithms, and applications / / Manuel Servin, J. Antonio Quiroga, and J. Moises Padilla
Fringe pattern analysis for optical metrology : theory, algorithms, and applications / / Manuel Servin, J. Antonio Quiroga, and J. Moises Padilla
Autore Servín Manuel
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2014
Descrizione fisica 1 online resource (345 p.)
Disciplina 621.36
Soggetto topico Diffraction patterns - Data processing
Image processing - Data processing
ISBN 3-527-68110-8
3-527-68107-8
3-527-68108-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fringe Pattern Analysis for Optical Metrology; Contents; Preface; List of Symbols and Acronyms; Chapter 1 Digital Linear Systems; 1.1 Introduction to Digital Phase Demodulation in Optical Metrology; 1.1.1 Fringe Pattern Demodulation as an Ill-Posed Inverse Problem; 1.1.2 Adding a priori Information to the Fringe Pattern: Carriers; 1.1.3 Classification of Phase Demodulation Methods in Digital Interferometry; 1.2 Digital Sampling; 1.2.1 Signal Classification; 1.2.2 Commonly Used Functions; 1.2.3 Impulse Sampling; 1.2.4 Nyquist-Shannon Sampling Theorem; 1.3 Linear Time-Invariant (LTI) Systems
1.3.1 Definition and Properties1.3.2 Impulse Response of LTI Systems; 1.3.3 Stability Criterion: Bounded-Input Bounded-Output; 1.4 Z-Transform Analysis of Digital Linear Systems; 1.4.1 Definition and Properties; 1.4.2 Region of Convergence (ROC); 1.4.3 Poles and Zeros of a Z-Transform; 1.4.4 Inverse Z-Transform; 1.4.5 Transfer Function of an LTI System in the Z-Domain; 1.4.6 Stability Evaluation by Means of the Z-Transform; 1.5 Fourier Analysis of Digital LTI Systems; 1.5.1 Definition and Properties of the Fourier Transform; 1.5.2 Discrete-Time Fourier Transform (DTFT)
1.5.3 Relation Between the DTFT and the Z-Transform1.5.4 Spectral Interpretation of the Sampling Theorem; 1.5.5 Aliasing: Sub-Nyquist Sampling; 1.5.6 Frequency Transfer Function (FTF) of an LTI System; 1.5.7 Stability Evaluation in the Fourier Domain; 1.6 Convolution-Based One-Dimensional (1D) Linear Filters; 1.6.1 One-Dimensional Finite Impulse Response (FIR) Filters; 1.6.2 One-Dimensional Infinite Impulse Response (IIR) Filters; 1.7 Convolution-Based two-dimensional (2D) Linear Filters; 1.7.1 Two-Dimensional (2D) Fourier and Z-Transforms; 1.7.2 Stability Analysis of 2D Linear Filters
1.8 Regularized Spatial Linear Filtering Techniques1.8.1 Classical Regularization for Low-Pass Filtering; 1.8.2 Spectral Response of 2D Regularized Low-Pass Filters; 1.9 Stochastic Processes; 1.9.1 Definitions and Basic Concepts; 1.9.2 Ergodic Stochastic Processes; 1.9.3 LTI System Response to Stochastic Signals; 1.9.4 Power Spectral Density (PSD) of a Stochastic Signal; 1.10 Summary and Conclusions; Chapter 2 Synchronous Temporal Interferometry; 2.1 Introduction; 2.1.1 Historical Review of the Theory of Phase-Shifting Algorithms (PSAs); 2.2 Temporal Carrier Interferometric Signal
2.3 Quadrature Linear Filters for Temporal Phase Estimation2.3.1 Linear PSAs Using Real-Valued Low-Pass Filtering; 2.4 The Minimum Three-Step PSA; 2.4.1 Algebraic Derivation of the Minimum Three-Step PSA; 2.4.2 Spectral FTF Analysis of the Minimum Three-Step PSA; 2.5 Least-Squares PSAs; 2.5.1 Temporal-to-Spatial Carrier Conversion: Squeezing Interferometry; 2.6 Detuning Analysis in Phase-Shifting Interferometry (PSI); 2.7 Noise in Temporal PSI; 2.7.1 Phase Estimation with Additive Random Noise; 2.7.2 Noise Rejection in N-Step Least-Squares (LS) PSAs
2.7.3 Noise Rejection of Linear Tunable PSAs
Record Nr. UNINA-9910132202003321
Servín Manuel  
Weinheim, Germany : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fringe pattern analysis for optical metrology : theory, algorithms, and applications / / Manuel Servin, J. Antonio Quiroga, and J. Moises Padilla
Fringe pattern analysis for optical metrology : theory, algorithms, and applications / / Manuel Servin, J. Antonio Quiroga, and J. Moises Padilla
Autore Servín Manuel
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2014
Descrizione fisica 1 online resource (345 p.)
Disciplina 621.36
Soggetto topico Diffraction patterns - Data processing
Image processing - Data processing
ISBN 3-527-68110-8
3-527-68107-8
3-527-68108-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fringe Pattern Analysis for Optical Metrology; Contents; Preface; List of Symbols and Acronyms; Chapter 1 Digital Linear Systems; 1.1 Introduction to Digital Phase Demodulation in Optical Metrology; 1.1.1 Fringe Pattern Demodulation as an Ill-Posed Inverse Problem; 1.1.2 Adding a priori Information to the Fringe Pattern: Carriers; 1.1.3 Classification of Phase Demodulation Methods in Digital Interferometry; 1.2 Digital Sampling; 1.2.1 Signal Classification; 1.2.2 Commonly Used Functions; 1.2.3 Impulse Sampling; 1.2.4 Nyquist-Shannon Sampling Theorem; 1.3 Linear Time-Invariant (LTI) Systems
1.3.1 Definition and Properties1.3.2 Impulse Response of LTI Systems; 1.3.3 Stability Criterion: Bounded-Input Bounded-Output; 1.4 Z-Transform Analysis of Digital Linear Systems; 1.4.1 Definition and Properties; 1.4.2 Region of Convergence (ROC); 1.4.3 Poles and Zeros of a Z-Transform; 1.4.4 Inverse Z-Transform; 1.4.5 Transfer Function of an LTI System in the Z-Domain; 1.4.6 Stability Evaluation by Means of the Z-Transform; 1.5 Fourier Analysis of Digital LTI Systems; 1.5.1 Definition and Properties of the Fourier Transform; 1.5.2 Discrete-Time Fourier Transform (DTFT)
1.5.3 Relation Between the DTFT and the Z-Transform1.5.4 Spectral Interpretation of the Sampling Theorem; 1.5.5 Aliasing: Sub-Nyquist Sampling; 1.5.6 Frequency Transfer Function (FTF) of an LTI System; 1.5.7 Stability Evaluation in the Fourier Domain; 1.6 Convolution-Based One-Dimensional (1D) Linear Filters; 1.6.1 One-Dimensional Finite Impulse Response (FIR) Filters; 1.6.2 One-Dimensional Infinite Impulse Response (IIR) Filters; 1.7 Convolution-Based two-dimensional (2D) Linear Filters; 1.7.1 Two-Dimensional (2D) Fourier and Z-Transforms; 1.7.2 Stability Analysis of 2D Linear Filters
1.8 Regularized Spatial Linear Filtering Techniques1.8.1 Classical Regularization for Low-Pass Filtering; 1.8.2 Spectral Response of 2D Regularized Low-Pass Filters; 1.9 Stochastic Processes; 1.9.1 Definitions and Basic Concepts; 1.9.2 Ergodic Stochastic Processes; 1.9.3 LTI System Response to Stochastic Signals; 1.9.4 Power Spectral Density (PSD) of a Stochastic Signal; 1.10 Summary and Conclusions; Chapter 2 Synchronous Temporal Interferometry; 2.1 Introduction; 2.1.1 Historical Review of the Theory of Phase-Shifting Algorithms (PSAs); 2.2 Temporal Carrier Interferometric Signal
2.3 Quadrature Linear Filters for Temporal Phase Estimation2.3.1 Linear PSAs Using Real-Valued Low-Pass Filtering; 2.4 The Minimum Three-Step PSA; 2.4.1 Algebraic Derivation of the Minimum Three-Step PSA; 2.4.2 Spectral FTF Analysis of the Minimum Three-Step PSA; 2.5 Least-Squares PSAs; 2.5.1 Temporal-to-Spatial Carrier Conversion: Squeezing Interferometry; 2.6 Detuning Analysis in Phase-Shifting Interferometry (PSI); 2.7 Noise in Temporal PSI; 2.7.1 Phase Estimation with Additive Random Noise; 2.7.2 Noise Rejection in N-Step Least-Squares (LS) PSAs
2.7.3 Noise Rejection of Linear Tunable PSAs
Record Nr. UNINA-9910812150403321
Servín Manuel  
Weinheim, Germany : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematics and computation in imaging science and information processing [[electronic resource] /] / editors Say Song Goh, Amos Ron, Zuowei Shen
Mathematics and computation in imaging science and information processing [[electronic resource] /] / editors Say Song Goh, Amos Ron, Zuowei Shen
Pubbl/distr/stampa New Jersey, : World Scientific, c2007
Descrizione fisica 1 online resource (276 p.)
Disciplina 621.36/7
Altri autori (Persone) GohSay Song
RonʻAmos
ShenZuowei
Collana Lecture notes series, Institute for Mathematical Sciences, National University of Singapore
Soggetto topico Image processing - Mathematical models
Image processing - Data processing
Electronic data processing - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-281-91870-9
9786611918705
981-270-906-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Foreword; Preface; Subdivision on Arbitrary Meshes: Algorithms and Theory Denis Zorin; 1. Introduction; 1.1. Subdivision in computer graphics and geometric modeling; 2. Basics; 2.1. Subdivision curves; 2.2. Subdivision surfaces; 3. Overview of Subdivision Schemes; 3.1. Classification of subdivision schemes; 3.2. Loop scheme; 3.3. Catmull-Clark scheme; 4. Modified Buttery Scheme; 4.1. Doo-Sabin scheme; 4.2. Midedge scheme and other non-integer arity schemes; 4.3. Comparison; 5. Smoothness of Subdivision Surfaces; 5.1. Cr-continuity and tangent plane continuity
5.2. Universal surfaces5.3. Sufficient smoothness criteria; 6. Approximation Properties of Subdivision Surfaces; 6.1. Functional spaces on surfaces; 6.2. Manifold structure defined by subdivision; 7. Conclusions; References; High Order Numerical Methods for Time Dependent Hamilton-Jacobi Equations Chi-Wang Shu; 1. Introduction and Properties of Hamilton-Jacobi Equations; 2. First Order Monotone Schemes; 2.1. Monotone schemes on structured rectangular meshes; 2.2. Monotone schemes on unstructured meshes; 3. High Order ENO and WENO Schemes on Structured Rectangular Meshes
3.1. High order ENO schemes3.2. High order WENO schemes; 4. High Order WENO Schemes on Unstructured Meshes; 5. High Order Discontinuous Galerkin Schemes on Unstructured Meshes; 6. High Order Strong Stability Preserving Runge-Kutta Time Discretizations; 7. A Few Numerical Examples; 8. Concluding Remarks; References; Theory and Computation of Variational Image Deblurring Tony F. Chan and Jianhong Shen; 1. Mathematical Models of Blurs; 1.1. Linear blurs; 1.2. The DC-condition; 1.3. Nonlinear blurs; 2. Illposedness of Deblurring; 3. Tikhonov and Bayesian Regularization
4. Optimal Wiener Filtering for Non-Blind Deblurring4.1. 2-D stochastic spatial signals; 4.2. Stochastic signals as random generalized functions; 4.3. Filtering-based deblurring; 4.4. Optimal Wiener ltering; 4.5. Connection to the Bayesian/Tikhonov method; 5. Deblurring Blurred BV Images; 5.1. TV deblurring by Rudin, Osher, and Fatemi; 5.2. Dealing with bounded image domains; 5.3. Existence and uniqueness; 5.4. Computation and examples; 6. Parametric Blind Deblurring; 6.1. Parametric modeling; 6.2. The AM algorithm; 7. Non-Parametric Blind Deblurring: Double-BV Model
7.1. General formulation of blind deblurring7.2. Double-BV blind deblurring model of Chan and Wong; 7.3. On the uniqueness: Hidden symmetries; 7.4. The existence theorem; 8. Deblurring Besov Images via Iterated Shrinkage; 8.1. Wavelets and Besov images; 8.2. Besov image deblurring via iterated shrinkage; 8.3. Understanding the iterated-shrinkage algorithm; 8.3.1. As semi-implicit time marching; 8.3.2. Via augmentation and auxiliary variables; 9. Further Reading; Acknowledgements; References; Data Hiding - Theory and Algorithms Pierre Moulin and Ralf Koetter; 1. Introduction
2. Model for Data Hiding
Record Nr. UNINA-9910451061703321
New Jersey, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematics and computation in imaging science and information processing [[electronic resource] /] / editors Say Song Goh, Amos Ron, Zuowei Shen
Mathematics and computation in imaging science and information processing [[electronic resource] /] / editors Say Song Goh, Amos Ron, Zuowei Shen
Pubbl/distr/stampa New Jersey, : World Scientific, c2007
Descrizione fisica 1 online resource (276 p.)
Disciplina 621.36/7
Altri autori (Persone) GohSay Song
RonʻAmos
ShenZuowei
Collana Lecture notes series, Institute for Mathematical Sciences, National University of Singapore
Soggetto topico Image processing - Mathematical models
Image processing - Data processing
Electronic data processing - Mathematical models
ISBN 1-281-91870-9
9786611918705
981-270-906-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Foreword; Preface; Subdivision on Arbitrary Meshes: Algorithms and Theory Denis Zorin; 1. Introduction; 1.1. Subdivision in computer graphics and geometric modeling; 2. Basics; 2.1. Subdivision curves; 2.2. Subdivision surfaces; 3. Overview of Subdivision Schemes; 3.1. Classification of subdivision schemes; 3.2. Loop scheme; 3.3. Catmull-Clark scheme; 4. Modified Buttery Scheme; 4.1. Doo-Sabin scheme; 4.2. Midedge scheme and other non-integer arity schemes; 4.3. Comparison; 5. Smoothness of Subdivision Surfaces; 5.1. Cr-continuity and tangent plane continuity
5.2. Universal surfaces5.3. Sufficient smoothness criteria; 6. Approximation Properties of Subdivision Surfaces; 6.1. Functional spaces on surfaces; 6.2. Manifold structure defined by subdivision; 7. Conclusions; References; High Order Numerical Methods for Time Dependent Hamilton-Jacobi Equations Chi-Wang Shu; 1. Introduction and Properties of Hamilton-Jacobi Equations; 2. First Order Monotone Schemes; 2.1. Monotone schemes on structured rectangular meshes; 2.2. Monotone schemes on unstructured meshes; 3. High Order ENO and WENO Schemes on Structured Rectangular Meshes
3.1. High order ENO schemes3.2. High order WENO schemes; 4. High Order WENO Schemes on Unstructured Meshes; 5. High Order Discontinuous Galerkin Schemes on Unstructured Meshes; 6. High Order Strong Stability Preserving Runge-Kutta Time Discretizations; 7. A Few Numerical Examples; 8. Concluding Remarks; References; Theory and Computation of Variational Image Deblurring Tony F. Chan and Jianhong Shen; 1. Mathematical Models of Blurs; 1.1. Linear blurs; 1.2. The DC-condition; 1.3. Nonlinear blurs; 2. Illposedness of Deblurring; 3. Tikhonov and Bayesian Regularization
4. Optimal Wiener Filtering for Non-Blind Deblurring4.1. 2-D stochastic spatial signals; 4.2. Stochastic signals as random generalized functions; 4.3. Filtering-based deblurring; 4.4. Optimal Wiener ltering; 4.5. Connection to the Bayesian/Tikhonov method; 5. Deblurring Blurred BV Images; 5.1. TV deblurring by Rudin, Osher, and Fatemi; 5.2. Dealing with bounded image domains; 5.3. Existence and uniqueness; 5.4. Computation and examples; 6. Parametric Blind Deblurring; 6.1. Parametric modeling; 6.2. The AM algorithm; 7. Non-Parametric Blind Deblurring: Double-BV Model
7.1. General formulation of blind deblurring7.2. Double-BV blind deblurring model of Chan and Wong; 7.3. On the uniqueness: Hidden symmetries; 7.4. The existence theorem; 8. Deblurring Besov Images via Iterated Shrinkage; 8.1. Wavelets and Besov images; 8.2. Besov image deblurring via iterated shrinkage; 8.3. Understanding the iterated-shrinkage algorithm; 8.3.1. As semi-implicit time marching; 8.3.2. Via augmentation and auxiliary variables; 9. Further Reading; Acknowledgements; References; Data Hiding - Theory and Algorithms Pierre Moulin and Ralf Koetter; 1. Introduction
2. Model for Data Hiding
Record Nr. UNINA-9910784848503321
New Jersey, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mathematics and computation in imaging science and information processing [[electronic resource] /] / editors Say Song Goh, Amos Ron, Zuowei Shen
Mathematics and computation in imaging science and information processing [[electronic resource] /] / editors Say Song Goh, Amos Ron, Zuowei Shen
Edizione [1st ed.]
Pubbl/distr/stampa New Jersey, : World Scientific, c2007
Descrizione fisica 1 online resource (276 p.)
Disciplina 621.36/7
Altri autori (Persone) GohSay Song
RonʻAmos
ShenZuowei
Collana Lecture notes series, Institute for Mathematical Sciences, National University of Singapore
Soggetto topico Image processing - Mathematical models
Image processing - Data processing
Electronic data processing - Mathematical models
ISBN 1-281-91870-9
9786611918705
981-270-906-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Foreword; Preface; Subdivision on Arbitrary Meshes: Algorithms and Theory Denis Zorin; 1. Introduction; 1.1. Subdivision in computer graphics and geometric modeling; 2. Basics; 2.1. Subdivision curves; 2.2. Subdivision surfaces; 3. Overview of Subdivision Schemes; 3.1. Classification of subdivision schemes; 3.2. Loop scheme; 3.3. Catmull-Clark scheme; 4. Modified Buttery Scheme; 4.1. Doo-Sabin scheme; 4.2. Midedge scheme and other non-integer arity schemes; 4.3. Comparison; 5. Smoothness of Subdivision Surfaces; 5.1. Cr-continuity and tangent plane continuity
5.2. Universal surfaces5.3. Sufficient smoothness criteria; 6. Approximation Properties of Subdivision Surfaces; 6.1. Functional spaces on surfaces; 6.2. Manifold structure defined by subdivision; 7. Conclusions; References; High Order Numerical Methods for Time Dependent Hamilton-Jacobi Equations Chi-Wang Shu; 1. Introduction and Properties of Hamilton-Jacobi Equations; 2. First Order Monotone Schemes; 2.1. Monotone schemes on structured rectangular meshes; 2.2. Monotone schemes on unstructured meshes; 3. High Order ENO and WENO Schemes on Structured Rectangular Meshes
3.1. High order ENO schemes3.2. High order WENO schemes; 4. High Order WENO Schemes on Unstructured Meshes; 5. High Order Discontinuous Galerkin Schemes on Unstructured Meshes; 6. High Order Strong Stability Preserving Runge-Kutta Time Discretizations; 7. A Few Numerical Examples; 8. Concluding Remarks; References; Theory and Computation of Variational Image Deblurring Tony F. Chan and Jianhong Shen; 1. Mathematical Models of Blurs; 1.1. Linear blurs; 1.2. The DC-condition; 1.3. Nonlinear blurs; 2. Illposedness of Deblurring; 3. Tikhonov and Bayesian Regularization
4. Optimal Wiener Filtering for Non-Blind Deblurring4.1. 2-D stochastic spatial signals; 4.2. Stochastic signals as random generalized functions; 4.3. Filtering-based deblurring; 4.4. Optimal Wiener ltering; 4.5. Connection to the Bayesian/Tikhonov method; 5. Deblurring Blurred BV Images; 5.1. TV deblurring by Rudin, Osher, and Fatemi; 5.2. Dealing with bounded image domains; 5.3. Existence and uniqueness; 5.4. Computation and examples; 6. Parametric Blind Deblurring; 6.1. Parametric modeling; 6.2. The AM algorithm; 7. Non-Parametric Blind Deblurring: Double-BV Model
7.1. General formulation of blind deblurring7.2. Double-BV blind deblurring model of Chan and Wong; 7.3. On the uniqueness: Hidden symmetries; 7.4. The existence theorem; 8. Deblurring Besov Images via Iterated Shrinkage; 8.1. Wavelets and Besov images; 8.2. Besov image deblurring via iterated shrinkage; 8.3. Understanding the iterated-shrinkage algorithm; 8.3.1. As semi-implicit time marching; 8.3.2. Via augmentation and auxiliary variables; 9. Further Reading; Acknowledgements; References; Data Hiding - Theory and Algorithms Pierre Moulin and Ralf Koetter; 1. Introduction
2. Model for Data Hiding
Record Nr. UNINA-9910818002703321
New Jersey, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
View-based 3-D object retrieval / / Yue Gao, Qionghai Dai
View-based 3-D object retrieval / / Yue Gao, Qionghai Dai
Autore Gao Yue
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, Netherlands : , : Elsevier, , 2015
Descrizione fisica 1 online resource (154 p.)
Disciplina 006.37
Collana Computer Science Reviews and Trends
Soggetto topico Image processing - Data processing
Pattern recognition systems - Quality control
Soggetto genere / forma Electronic books.
ISBN 0-12-802623-5
0-12-802419-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; View-Based 3-D Object Retrieval; Copyright; Contents; Acknowledgments; Preface; Part I: The Start; Chapter 1: Introduction; 1.1 The Definition of 3DOR; 1.2 Model-Based 3DOR Versus View-Based 3DOR; 1.3 The Challenges of V3DOR; 1.4 Summary of Our Work; 1.4.1 View Extraction; 1.4.2 Representative View Selection; 1.4.3 Learning the Weights for Multiple Views; 1.4.4 Distance Measures for Object Matching; 1.4.5 Learning the Relevance Among 3-D Objects; 1.5 Structure of This Book; 1.6 Summary; References; Chapter 2: The Benchmark and Evaluation; 2.1 Introduction
2.2 The Standard Benchmarks2.3 The Shape Retrieval Contest; 2.4 Evaluation Criteria in 3DOR; 2.5 Summary; References; Part II View Extraction, Selection, and Representation; Chapter 3: View Extraction; 3.1 Introduction; 3.2 Dense Sampling Viewpoints; 3.3 Predefined Camera Array; 3.4 Generated View; 3.5 Summary; References; Chapter 4: View Selection; 4.1 Introduction; 4.2 Unsupervised View Selection; 4.3 Interactive View Selection; 4.3.1 Multiview 3-D Object Matching; 4.3.2 View Clustering; 4.3.3 Initial Query View Selection; 4.3.4 Interactive View Selection with User Relevance Feedback
4.3.5 Learning a Distance Metric4.3.6 Multiple Query Views Linear Combination; 4.3.7 The Computational Cost; 4.4 Summary; References; Chapter 5: View Representation; 5.1 Introduction; 5.2 Shape Feature Extraction; 5.2.1 Zernike Moments; 5.2.2 Fourier Descriptor; 5.3 The Bag-of-Visual-Features Method; 5.3.1 The Bag-of-Visual-Words; 5.3.2 The Bag-of-Region-Words; 5.4 Learning the Weights for Multiple Views; 5.4.1 K-Partite Graph Reinforcement; 5.4.2 Weight Learning for Multiple Views Usingthe k-Partite Graph; 5.5 Summary; References; Part III View-Based 3-D Object Comparison
Chapter 6: Multiple-View Distance Metric6.1 Introduction; 6.2 Fundamental Many-to-Many Distance Measures; 6.3 Bipartite Graph Matching; 6.3.1 View Selection and Weighting; 6.3.2 Bipartite Graph Construction; 6.3.3 Bipartite Graph Matching; 6.4 Statistical Matching; 6.4.1 Adaptive View Clustering; 6.4.2 CCFV; 6.4.2.1 View Clustering and Query Model Training; 6.4.2.2 Positive and Negative Matching Models; 6.4.2.3 Calculation of the Similarity Between Q and O S(Q,O); 6.4.2.4 Analysis of Computational Cost; 6.4.3 Markov Chain; 6.4.4 Gaussian Mixture Model Formulation
6.4.4.1 Conventional GMM Training6.4.4.2 Generative Adaptation of GMM; 6.4.4.3 Discriminative Adaptation of GMM; 6.4.4.4 Learning the Weights for Multiple GMMs; 6.5 Summary; References; Chapter 7: Learning-Based 3-D Object Retrieval; 7.1 Introduction; 7.2 Learning Optimal Distance Metrics; 7.2.1 Hausdorff Distance Learning; 7.2.2 Learning Bipartite Graph Optimal Matching; 7.3 3-D Object Relevance Estimation via Hypergraph Learning; 7.3.1 Hypergraph and Its Applications; 7.3.2 Learning on Single Hypergraph; 7.3.3 Learning on Multiple Hypergraphs
7.3.4 Learning the Weights for Multiple Hypergraphs
Record Nr. UNINA-9910459628303321
Gao Yue  
Amsterdam, Netherlands : , : Elsevier, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
View-based 3-D object retrieval / / Yue Gao, Qionghai Dai
View-based 3-D object retrieval / / Yue Gao, Qionghai Dai
Autore Gao Yue
Edizione [1st edition]
Pubbl/distr/stampa Amsterdam, Netherlands : , : Elsevier, , 2015
Descrizione fisica 1 online resource (154 p.)
Disciplina 006.37
Collana Computer Science Reviews and Trends
Soggetto topico Image processing - Data processing
Pattern recognition systems - Quality control
ISBN 0-12-802623-5
0-12-802419-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; View-Based 3-D Object Retrieval; Copyright; Contents; Acknowledgments; Preface; Part I: The Start; Chapter 1: Introduction; 1.1 The Definition of 3DOR; 1.2 Model-Based 3DOR Versus View-Based 3DOR; 1.3 The Challenges of V3DOR; 1.4 Summary of Our Work; 1.4.1 View Extraction; 1.4.2 Representative View Selection; 1.4.3 Learning the Weights for Multiple Views; 1.4.4 Distance Measures for Object Matching; 1.4.5 Learning the Relevance Among 3-D Objects; 1.5 Structure of This Book; 1.6 Summary; References; Chapter 2: The Benchmark and Evaluation; 2.1 Introduction
2.2 The Standard Benchmarks2.3 The Shape Retrieval Contest; 2.4 Evaluation Criteria in 3DOR; 2.5 Summary; References; Part II View Extraction, Selection, and Representation; Chapter 3: View Extraction; 3.1 Introduction; 3.2 Dense Sampling Viewpoints; 3.3 Predefined Camera Array; 3.4 Generated View; 3.5 Summary; References; Chapter 4: View Selection; 4.1 Introduction; 4.2 Unsupervised View Selection; 4.3 Interactive View Selection; 4.3.1 Multiview 3-D Object Matching; 4.3.2 View Clustering; 4.3.3 Initial Query View Selection; 4.3.4 Interactive View Selection with User Relevance Feedback
4.3.5 Learning a Distance Metric4.3.6 Multiple Query Views Linear Combination; 4.3.7 The Computational Cost; 4.4 Summary; References; Chapter 5: View Representation; 5.1 Introduction; 5.2 Shape Feature Extraction; 5.2.1 Zernike Moments; 5.2.2 Fourier Descriptor; 5.3 The Bag-of-Visual-Features Method; 5.3.1 The Bag-of-Visual-Words; 5.3.2 The Bag-of-Region-Words; 5.4 Learning the Weights for Multiple Views; 5.4.1 K-Partite Graph Reinforcement; 5.4.2 Weight Learning for Multiple Views Usingthe k-Partite Graph; 5.5 Summary; References; Part III View-Based 3-D Object Comparison
Chapter 6: Multiple-View Distance Metric6.1 Introduction; 6.2 Fundamental Many-to-Many Distance Measures; 6.3 Bipartite Graph Matching; 6.3.1 View Selection and Weighting; 6.3.2 Bipartite Graph Construction; 6.3.3 Bipartite Graph Matching; 6.4 Statistical Matching; 6.4.1 Adaptive View Clustering; 6.4.2 CCFV; 6.4.2.1 View Clustering and Query Model Training; 6.4.2.2 Positive and Negative Matching Models; 6.4.2.3 Calculation of the Similarity Between Q and O S(Q,O); 6.4.2.4 Analysis of Computational Cost; 6.4.3 Markov Chain; 6.4.4 Gaussian Mixture Model Formulation
6.4.4.1 Conventional GMM Training6.4.4.2 Generative Adaptation of GMM; 6.4.4.3 Discriminative Adaptation of GMM; 6.4.4.4 Learning the Weights for Multiple GMMs; 6.5 Summary; References; Chapter 7: Learning-Based 3-D Object Retrieval; 7.1 Introduction; 7.2 Learning Optimal Distance Metrics; 7.2.1 Hausdorff Distance Learning; 7.2.2 Learning Bipartite Graph Optimal Matching; 7.3 3-D Object Relevance Estimation via Hypergraph Learning; 7.3.1 Hypergraph and Its Applications; 7.3.2 Learning on Single Hypergraph; 7.3.3 Learning on Multiple Hypergraphs
7.3.4 Learning the Weights for Multiple Hypergraphs
Record Nr. UNINA-9910787270903321
Gao Yue  
Amsterdam, Netherlands : , : Elsevier, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui