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Advances in image processing and understanding [[electronic resource] ] : a festschrift for Thomas S. Huang / / editors, Alan C. Bovik, Chang Wen Chen, Dmitry Goldgof
| Advances in image processing and understanding [[electronic resource] ] : a festschrift for Thomas S. Huang / / editors, Alan C. Bovik, Chang Wen Chen, Dmitry Goldgof |
| Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2002 |
| Descrizione fisica | 1 online resource (398 p.) |
| Disciplina | 621.36/7 |
| Altri autori (Persone) |
BovikAlan C <1958-> (Alan Conrad)
ChenChang Wen <1959-> GoldgofDmitry B HuangThomas S. <1936-> |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Image processing - Digital techniques
Imaging systems Computer vision |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-277-695-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Developmental vision, audition, robots and beyond / J. Weng, W.-S. Hwang and Y. Zhang -- Piecewise Bézier volume deformation model and its applications in facial motion capture / H. Tao and T.S. Huang -- Nonrigid motion and structure analysis from 2D with application towards 3D cloud tracking / L. Zhou, C. Kambhamettu and D.B. Goldgof -- Map structure recognition and automatic map data acquisition / Y. Liu -- Learning visual concepts for content based retrieval / M.S. Lew -- Automated human facial feature extraction using double resolution pyramid / L. Tang -- Learning based relevance feedback in image retrieval / Y. Rui and T. Huang -- Object-based subband/wavelet video compression / S.-C. Han and J.W. Woods -- Computational approach to semantic event detection in video / R.J. Qian, N. Haering and M.I. Sezan.
Robust video transmission for feedback channels / S.D. Blostein and Q. Jiang -- Multidimensional AM-FM models with image processing applications / M.S. Pattichis ... [et al.] -- Image transmission over noisy channels : TCQ-based coding schemes / C.W. Chen ... [et al.] -- Motion and structure from feature correspondences : a review (reprint) / T.S. Huang and A.N. Netravali -- Toward multimodel human-computer interface (reprint) / R. Sharma, V.I. Pavlović and T.S. Huang -- Image processing / T.S. Huang, W.F. Schreiber and O.J. Tretiak. |
| Record Nr. | UNINA-9910458107103321 |
| Singapore ; ; River Edge, N.J., : World Scientific, c2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in image processing and understanding [[electronic resource] ] : a festschrift for Thomas S. Huang / / editors, Alan C. Bovik, Chang Wen Chen, Dmitry Goldgof
| Advances in image processing and understanding [[electronic resource] ] : a festschrift for Thomas S. Huang / / editors, Alan C. Bovik, Chang Wen Chen, Dmitry Goldgof |
| Pubbl/distr/stampa | Singapore ; ; River Edge, N.J., : World Scientific, c2002 |
| Descrizione fisica | 1 online resource (398 p.) |
| Disciplina | 621.36/7 |
| Altri autori (Persone) |
BovikAlan C <1958-> (Alan Conrad)
ChenChang Wen <1959-> GoldgofDmitry B HuangThomas S. <1936-> |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Image processing - Digital techniques
Imaging systems Computer vision |
| ISBN | 981-277-695-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Developmental vision, audition, robots and beyond / J. Weng, W.-S. Hwang and Y. Zhang -- Piecewise Bézier volume deformation model and its applications in facial motion capture / H. Tao and T.S. Huang -- Nonrigid motion and structure analysis from 2D with application towards 3D cloud tracking / L. Zhou, C. Kambhamettu and D.B. Goldgof -- Map structure recognition and automatic map data acquisition / Y. Liu -- Learning visual concepts for content based retrieval / M.S. Lew -- Automated human facial feature extraction using double resolution pyramid / L. Tang -- Learning based relevance feedback in image retrieval / Y. Rui and T. Huang -- Object-based subband/wavelet video compression / S.-C. Han and J.W. Woods -- Computational approach to semantic event detection in video / R.J. Qian, N. Haering and M.I. Sezan.
Robust video transmission for feedback channels / S.D. Blostein and Q. Jiang -- Multidimensional AM-FM models with image processing applications / M.S. Pattichis ... [et al.] -- Image transmission over noisy channels : TCQ-based coding schemes / C.W. Chen ... [et al.] -- Motion and structure from feature correspondences : a review (reprint) / T.S. Huang and A.N. Netravali -- Toward multimodel human-computer interface (reprint) / R. Sharma, V.I. Pavlović and T.S. Huang -- Image processing / T.S. Huang, W.F. Schreiber and O.J. Tretiak. |
| Record Nr. | UNINA-9910784885403321 |
| Singapore ; ; River Edge, N.J., : World Scientific, c2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The essential guide to image processing [[electronic resource] /] / editor, Al Bovik
| The essential guide to image processing [[electronic resource] /] / editor, Al Bovik |
| Autore | Bovik Alan C (Alan Conrad), <1958-> |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/AP, c2009 |
| Descrizione fisica | 1 online resource (877 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | BovikAlan C <1958-> (Alan Conrad) |
| Soggetto topico |
Image processing - Digital techniques
Image processing |
| ISBN |
1-282-16876-2
9786612168765 0-08-092251-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; The Essential Guide to Image Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Image Processing; 1.1 Types of Images; 1.2 Scale of Images; 1.3 Dimension of Images; 1.4 Digitization of Images; 1.5 Sampled Images; 1.6 Quantized Images; 1.7 Color Images; 1.8 Size of Image Data; 1.9 Objectives of this Guide; 1.10 Organization of the Guide; Reference; Chapter 2. The SIVA Image Processing Demos; 2.1 Introduction; 2.2 LabVIEW for Image Processing; 2.2.1 The LabVIEW Development Environment
2.2.2 Image Processing and Machine Vision in LabVIEW2.3 Examples from the SIVA Image Processing Demos; 2.4 Conclusions; References; Chapter 3. Basic Gray Level Image Processing; 3.1 Introduction; 3.2 Notation; 3.3 Image Histogram; 3.4 Linear Point Operations on Images; 3.4.1 Additive Image Offset; 3.4.2 Multiplicative Image Scaling; 3.4.3 Image Negative; 3.4.4 Full-Scale Histogram Stretch; 3.5 Nonlinear Point Operations on Images; 3.5.1 Logarithmic Point Operations; 3.5.2 Histogram Equalization; 3.5.3 Histogram Shaping; 3.6 Arithmetic Operations Between Images 3.6.1 Image Averaging for Noise Reduction3.6.2 Image Differencing for Change Detection; 3.7 Geometric Image Operations; 3.7.1 Nearest Neighbor Interpolation; 3.7.2 Bilinear Interpolation; 3.7.3 Image Translation; 3.7.4 Image Rotation; 3.7.5 Image Zoom; Chapter 4. Basic Binary Image Processing; 4.1 Introduction; 4.2 Image Thresholding; 4.3 Region Labeling; 4.3.1 Region Labeling Algorithm; 4.3.2 Region Counting Algorithm; 4.3.3 Minor Region Removal Algorithm; 4.4 Binary Image Morphology; 4.4.1 Logical Operations; 4.4.2 Windows; 4.4.3 Morphological Filters; 4.4.4 Morphological Boundary Detection 4.5 Binary Image Representation and Compression4.5.1 Run-Length Coding; 4.5.2 Chain Coding; Chapter 5. Basic Tools for Image Fourier Analysis; 5.1 Introduction; 5.2 Discrete-Space Sinusoids; 5.3 Discrete-Space Fourier Transform; 5.3.1 Linearity of DSFT; 5.3.2 Inversion of DSFT; 5.3.3 Magnitude and Phase of DSFT; 5.3.4 Symmetry of DSFT; 5.3.5 Translation of DSFT; 5.3.6 Convolution and the DSFT; 5.4 2D Discrete Fourier Transform (DFT); 5.4.1 Linearity and Invertibility of DFT; 5.4.2 Symmetry of DFT; 5.4.3 Periodicity of DFT; 5.4.4 Image Periodicity Implied by DFT 5.4.5 Cyclic Convolution Property of the DFT5.4.6 Linear Convolution Using the DFT; 5.4.7 Computation of the DFT; 5.4.8 Displaying the DFT; 5.5 Understanding Image Frequencies and the DFT; 5.5.1 Frequency Granularity; 5.5.2 Frequency Orientation; 5.6 Related Topics in this Guide; Chapter 6. Multiscale Image Decompositions and Wavelets; 6.1 Overview; 6.2 Pyramid Representations; 6.2.1 Decimation and Interpolation; 6.2.2 Gaussian Pyramid; 6.2.3 Laplacian Pyramid; 6.3 Wavelet Representations; 6.3.1 Filter Banks; 6.3.2 Wavelet Decomposition; 6.3.3 Discrete Wavelet Bases 6.3.4 Continuous Wavelet Bases |
| Record Nr. | UNINA-9910777935103321 |
Bovik Alan C (Alan Conrad), <1958->
|
||
| Amsterdam ; ; Boston, : Elsevier/AP, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The essential guide to image processing [[electronic resource] /] / editor, Al Bovik
| The essential guide to image processing [[electronic resource] /] / editor, Al Bovik |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier/AP, c2009 |
| Descrizione fisica | 1 online resource (877 p.) |
| Disciplina | 621.367 |
| Altri autori (Persone) | BovikAlan C <1958-> (Alan Conrad) |
| Soggetto topico |
Image processing - Digital techniques
Image processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-16876-2
9786612168765 0-08-092251-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; The Essential Guide to Image Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Image Processing; 1.1 Types of Images; 1.2 Scale of Images; 1.3 Dimension of Images; 1.4 Digitization of Images; 1.5 Sampled Images; 1.6 Quantized Images; 1.7 Color Images; 1.8 Size of Image Data; 1.9 Objectives of this Guide; 1.10 Organization of the Guide; Reference; Chapter 2. The SIVA Image Processing Demos; 2.1 Introduction; 2.2 LabVIEW for Image Processing; 2.2.1 The LabVIEW Development Environment
2.2.2 Image Processing and Machine Vision in LabVIEW2.3 Examples from the SIVA Image Processing Demos; 2.4 Conclusions; References; Chapter 3. Basic Gray Level Image Processing; 3.1 Introduction; 3.2 Notation; 3.3 Image Histogram; 3.4 Linear Point Operations on Images; 3.4.1 Additive Image Offset; 3.4.2 Multiplicative Image Scaling; 3.4.3 Image Negative; 3.4.4 Full-Scale Histogram Stretch; 3.5 Nonlinear Point Operations on Images; 3.5.1 Logarithmic Point Operations; 3.5.2 Histogram Equalization; 3.5.3 Histogram Shaping; 3.6 Arithmetic Operations Between Images 3.6.1 Image Averaging for Noise Reduction3.6.2 Image Differencing for Change Detection; 3.7 Geometric Image Operations; 3.7.1 Nearest Neighbor Interpolation; 3.7.2 Bilinear Interpolation; 3.7.3 Image Translation; 3.7.4 Image Rotation; 3.7.5 Image Zoom; Chapter 4. Basic Binary Image Processing; 4.1 Introduction; 4.2 Image Thresholding; 4.3 Region Labeling; 4.3.1 Region Labeling Algorithm; 4.3.2 Region Counting Algorithm; 4.3.3 Minor Region Removal Algorithm; 4.4 Binary Image Morphology; 4.4.1 Logical Operations; 4.4.2 Windows; 4.4.3 Morphological Filters; 4.4.4 Morphological Boundary Detection 4.5 Binary Image Representation and Compression4.5.1 Run-Length Coding; 4.5.2 Chain Coding; Chapter 5. Basic Tools for Image Fourier Analysis; 5.1 Introduction; 5.2 Discrete-Space Sinusoids; 5.3 Discrete-Space Fourier Transform; 5.3.1 Linearity of DSFT; 5.3.2 Inversion of DSFT; 5.3.3 Magnitude and Phase of DSFT; 5.3.4 Symmetry of DSFT; 5.3.5 Translation of DSFT; 5.3.6 Convolution and the DSFT; 5.4 2D Discrete Fourier Transform (DFT); 5.4.1 Linearity and Invertibility of DFT; 5.4.2 Symmetry of DFT; 5.4.3 Periodicity of DFT; 5.4.4 Image Periodicity Implied by DFT 5.4.5 Cyclic Convolution Property of the DFT5.4.6 Linear Convolution Using the DFT; 5.4.7 Computation of the DFT; 5.4.8 Displaying the DFT; 5.5 Understanding Image Frequencies and the DFT; 5.5.1 Frequency Granularity; 5.5.2 Frequency Orientation; 5.6 Related Topics in this Guide; Chapter 6. Multiscale Image Decompositions and Wavelets; 6.1 Overview; 6.2 Pyramid Representations; 6.2.1 Decimation and Interpolation; 6.2.2 Gaussian Pyramid; 6.2.3 Laplacian Pyramid; 6.3 Wavelet Representations; 6.3.1 Filter Banks; 6.3.2 Wavelet Decomposition; 6.3.3 Discrete Wavelet Bases 6.3.4 Continuous Wavelet Bases |
| Record Nr. | UNINA-9910455030903321 |
| Amsterdam ; ; Boston, : Elsevier/AP, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of image and video processing [[electronic resource] /] / editor, Al Bovik
| Handbook of image and video processing [[electronic resource] /] / editor, Al Bovik |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, MA, : Elsevier Academic Press, 2005 |
| Descrizione fisica | 1 online resource (1429 p.) |
| Disciplina | 621.36/7 |
| Altri autori (Persone) | BovikAlan C <1958-> (Alan Conrad) |
| Collana | Communications, Networking and Multimedia |
| Soggetto topico |
Image processing - Digital techniques
Video compression |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-11183-X
9786611111830 0-08-053361-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Hand Book of Image and Video Processing; Copyright Page; Preface; Editor; Contributors; Contents; Section I: Introduction; Chapter 1.1 Introduction to Digital Image and Video Processing; Section II: Basic Image Processing Techniques; Chapter 2.1 Basic Gray-Level Image Processing; Chapter 2.2 Basic Binary Image Processing; Chapter 2.3 Basic Tools for Image Fourier Analysis; Chapter 2.4 Image Processing Education; Section III: Image and Video Processing; Image and Video Enhancement and Restoration; Chapter 3.1 Basic Linear Filtering with Application to Image Enhancement
Chapter 3.2 Nonlinear Filtering for Image Analysis and EnhancementChapter 3.3 Morphological Filtering for Image Enhancement and Feature Detection; Chapter 3.4 Wavelet Denoising for Image Enhancement; Chapter 3.5 Basic Methods for Image Restoration and Identification; Chapter 3.6 Regularization in Image Restoration and Reconstruction; Chapter 3.7 Multichannel Image Recovery; Chapter 3.8 Multi-Frame Image Restoration; Chapter 3.9 Iterative Image Restoration; Chapter 3.10 Motion Detection and Estimation; Chapter 3.11 Video Enhancement and Restoration; Reconstruction from Multiple Images Chapter 3.12 Local and Global Stereo MethodsChapter 3.13 Image Sequence Stabilization, Mosaicking, and Superresolution; Section IV: Image and Video Analysis; Image Representations and Image Models; Chapter 4.1 Computational Models of Early Human Vision; Chapter 4.2 Multiscale Image Decompositions and Wavelets; Chapter 4.3 Random Field Models; Chapter 4.4 AM-FM Image Models: Fundamental Techniques and Emerging Trends; Chapter 4.5 Image Noise Models; Chapter 4.6 Color and Multispectral Image Representation and Display; Chapter 4.7 Statistical Modeling of Photographic Images Image and Video Classifications and SegmentationChapter 4.8 Statistical Methods for Image Segmentation; Chapter 4.9 Multiband Techniques for Texture Classification and Segmentation; Chapter 4.10 Video Segmentation; Chapter 4.11 2D and 3D Motion Tracking in Digital Video; Chapter 4.12 Adaptive and Neural Methods for Image Segmentation; Edge and Boundary Detection in Images; Chapter 4.13 Gradient and Laplacian Edge Detection; Partial Differential Equation-Based Image Processing; Chapter 4.14 Diffusion Partial Differential Equations for Edge Detection; Chapter 4.15 Shape Smoothing and PDEs Chapter 4.16 PDEs for Morphological Scale Spaces and Eikonal ApplicationsChapter 4.17 Geometric Active Contours for Image Segmentation; Algoritihms of Image Processsing; Chapter 4.18 Software for Image and Video Processing; Section V: Image Compression; Chapter 5.1 Lossless Coding; Chapter 5.2 Block Truncation Coding; Chapter 5.3 Fundamentals of Vector Quantization; Chapter 5.4 Wavelet Image Compression; Chapter 5.5 Lossy Image Compression: JPEG and JPEG2000 Standards; Chapter 5.6 The JPEG Lossless Image Compression Standards; Chapter 5.7 Multispectral Image Coding Chapter 5.8 Recovery Methods for Postprocessing of Compressed Images |
| Altri titoli varianti | Image and video processing |
| Record Nr. | UNINA-9910457985503321 |
| Amsterdam ; ; Boston, MA, : Elsevier Academic Press, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of image and video processing [[electronic resource] /] / editor, Al Bovik
| Handbook of image and video processing [[electronic resource] /] / editor, Al Bovik |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, MA, : Elsevier Academic Press, 2005 |
| Descrizione fisica | 1 online resource (1429 p.) |
| Disciplina | 621.36/7 |
| Altri autori (Persone) | BovikAlan C <1958-> (Alan Conrad) |
| Collana | Communications, Networking and Multimedia |
| Soggetto topico |
Image processing - Digital techniques
Video compression |
| ISBN |
1-281-11183-X
9786611111830 0-08-053361-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Hand Book of Image and Video Processing; Copyright Page; Preface; Editor; Contributors; Contents; Section I: Introduction; Chapter 1.1 Introduction to Digital Image and Video Processing; Section II: Basic Image Processing Techniques; Chapter 2.1 Basic Gray-Level Image Processing; Chapter 2.2 Basic Binary Image Processing; Chapter 2.3 Basic Tools for Image Fourier Analysis; Chapter 2.4 Image Processing Education; Section III: Image and Video Processing; Image and Video Enhancement and Restoration; Chapter 3.1 Basic Linear Filtering with Application to Image Enhancement
Chapter 3.2 Nonlinear Filtering for Image Analysis and EnhancementChapter 3.3 Morphological Filtering for Image Enhancement and Feature Detection; Chapter 3.4 Wavelet Denoising for Image Enhancement; Chapter 3.5 Basic Methods for Image Restoration and Identification; Chapter 3.6 Regularization in Image Restoration and Reconstruction; Chapter 3.7 Multichannel Image Recovery; Chapter 3.8 Multi-Frame Image Restoration; Chapter 3.9 Iterative Image Restoration; Chapter 3.10 Motion Detection and Estimation; Chapter 3.11 Video Enhancement and Restoration; Reconstruction from Multiple Images Chapter 3.12 Local and Global Stereo MethodsChapter 3.13 Image Sequence Stabilization, Mosaicking, and Superresolution; Section IV: Image and Video Analysis; Image Representations and Image Models; Chapter 4.1 Computational Models of Early Human Vision; Chapter 4.2 Multiscale Image Decompositions and Wavelets; Chapter 4.3 Random Field Models; Chapter 4.4 AM-FM Image Models: Fundamental Techniques and Emerging Trends; Chapter 4.5 Image Noise Models; Chapter 4.6 Color and Multispectral Image Representation and Display; Chapter 4.7 Statistical Modeling of Photographic Images Image and Video Classifications and SegmentationChapter 4.8 Statistical Methods for Image Segmentation; Chapter 4.9 Multiband Techniques for Texture Classification and Segmentation; Chapter 4.10 Video Segmentation; Chapter 4.11 2D and 3D Motion Tracking in Digital Video; Chapter 4.12 Adaptive and Neural Methods for Image Segmentation; Edge and Boundary Detection in Images; Chapter 4.13 Gradient and Laplacian Edge Detection; Partial Differential Equation-Based Image Processing; Chapter 4.14 Diffusion Partial Differential Equations for Edge Detection; Chapter 4.15 Shape Smoothing and PDEs Chapter 4.16 PDEs for Morphological Scale Spaces and Eikonal ApplicationsChapter 4.17 Geometric Active Contours for Image Segmentation; Algoritihms of Image Processsing; Chapter 4.18 Software for Image and Video Processing; Section V: Image Compression; Chapter 5.1 Lossless Coding; Chapter 5.2 Block Truncation Coding; Chapter 5.3 Fundamentals of Vector Quantization; Chapter 5.4 Wavelet Image Compression; Chapter 5.5 Lossy Image Compression: JPEG and JPEG2000 Standards; Chapter 5.6 The JPEG Lossless Image Compression Standards; Chapter 5.7 Multispectral Image Coding Chapter 5.8 Recovery Methods for Postprocessing of Compressed Images |
| Altri titoli varianti | Image and video processing |
| Record Nr. | UNINA-9910784529703321 |
| Amsterdam ; ; Boston, MA, : Elsevier Academic Press, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||