Wavelet Image and Video Compression [electronic resource] /

An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible. Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data. Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.

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Bibliographic Details
Main Authors: Topiwala, Pankaj N. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US, 2002
Subjects:Physics., Image processing., Acoustics., Electrical engineering., Optics, Lasers, Photonics, Optical Devices., Signal, Image and Speech Processing., Image Processing and Computer Vision., Electrical Engineering.,
Online Access:http://dx.doi.org/10.1007/b117069
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record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Physics.
Image processing.
Acoustics.
Electrical engineering.
Physics.
Acoustics.
Optics, Lasers, Photonics, Optical Devices.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Electrical Engineering.
Physics.
Image processing.
Acoustics.
Electrical engineering.
Physics.
Acoustics.
Optics, Lasers, Photonics, Optical Devices.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Electrical Engineering.
spellingShingle Physics.
Image processing.
Acoustics.
Electrical engineering.
Physics.
Acoustics.
Optics, Lasers, Photonics, Optical Devices.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Electrical Engineering.
Physics.
Image processing.
Acoustics.
Electrical engineering.
Physics.
Acoustics.
Optics, Lasers, Photonics, Optical Devices.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Electrical Engineering.
Topiwala, Pankaj N. editor.
SpringerLink (Online service)
Wavelet Image and Video Compression [electronic resource] /
description An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible. Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data. Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.
format Texto
topic_facet Physics.
Image processing.
Acoustics.
Electrical engineering.
Physics.
Acoustics.
Optics, Lasers, Photonics, Optical Devices.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Electrical Engineering.
author Topiwala, Pankaj N. editor.
SpringerLink (Online service)
author_facet Topiwala, Pankaj N. editor.
SpringerLink (Online service)
author_sort Topiwala, Pankaj N. editor.
title Wavelet Image and Video Compression [electronic resource] /
title_short Wavelet Image and Video Compression [electronic resource] /
title_full Wavelet Image and Video Compression [electronic resource] /
title_fullStr Wavelet Image and Video Compression [electronic resource] /
title_full_unstemmed Wavelet Image and Video Compression [electronic resource] /
title_sort wavelet image and video compression [electronic resource] /
publisher Boston, MA : Springer US,
publishDate 2002
url http://dx.doi.org/10.1007/b117069
work_keys_str_mv AT topiwalapankajneditor waveletimageandvideocompressionelectronicresource
AT springerlinkonlineservice waveletimageandvideocompressionelectronicresource
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spelling KOHA-OAI-TEST:2014872018-07-30T23:28:57ZWavelet Image and Video Compression [electronic resource] / Topiwala, Pankaj N. editor. SpringerLink (Online service) textBoston, MA : Springer US,2002.engAn exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible. Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data. Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.Preliminaries -- Preliminaries -- Time-Frequency Analysis, Wavelets And Filter Banks -- To Compression -- Symmetric Extension Transforms -- Still Image Coding -- Wavelet Still Image Coding: A Baseline MSE and HVS Approach -- Image Coding Using Multiplier-Free Filter Banks -- Embedded Image Coding Using Zerotrees of Wavelet Coefficients -- A New Fast/Efficient Image Codec Based on Set Partitioning in Hierarchical Trees -- Space-frequency Quantization for Wavelet Image Coding -- Subband Coding of Images Using Classification and Trellis Coded Quantization -- Low-Complexity Compression of Run Length Coded Image Subbands -- Special Topics in Still Image Coding -- Fractal Image Coding as Cross-Scale Wavelet Coefficient Prediction -- Region of Interest Compression In Subband Coding -- Wavelet-Based Embedded Multispectral Image Compression -- The FBI Fingerprint Image Compression Specification -- Embedded Image Coding Using Wavelet Difference Reduction -- Block Transforms in Progressive Image Coding -- Video Coding -- Brief on Video Coding Standards -- Interpolative Multiresolution Coding of Advanced TV with Subchannels -- Subband Video Coding for Low to High Rate Applications -- Very Low Bit Rate Video Coding Based on Matching Pursuits -- Object-Based Subband/Wavelet Video Compression -- Embedded Video Subband Coding with 3D SPIHT.An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. This technology has deep roots in theories of vision, and promises performance improvements over all other compression methods, such as those based on Fourier transforms, vectors quantizers, fractals, neural nets, and many others. It is this revolutionary new technology that is presented in Wavelet Image and Video Compression, in a form that is accessible to the largest audience possible. Wavelet Image and Video Compression is divided into four parts. Part I, Background Material, introduces the basic mathematical structures that underly image compression algorithms with the intention of providing an easy introduction to the mathematical concepts that are prerequisites for the remainder of the book. It explains such topics as change of bases, scalar and vector quantization, bit allocation and rate-distortion theory, entropy coding, the discrete-cosine transform, wavelet filters and other related topics. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques. Part III, Special Topics in Still Image Coding, provides a variety of example coding schemes with a special flavor in either approach or application domain. Part IV, Video Coding, examines wavelet and pyramidal coding techniques for video data. Wavelet Image and Video Compression serves as an excellent reference and may be used as a text for advanced courses covering the subject.Physics.Image processing.Acoustics.Electrical engineering.Physics.Acoustics.Optics, Lasers, Photonics, Optical Devices.Signal, Image and Speech Processing.Image Processing and Computer Vision.Electrical Engineering.Springer eBookshttp://dx.doi.org/10.1007/b117069URN:ISBN:9780306470431