rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Wavelet Image and Video Compression
  name:
    name part: Topiwala, Pankaj N.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 438 p. online resource.
  abstract: 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.
  table of contents: 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.
  note: edited by Pankaj N. Topiwala.
  subject:
    topic: Physics
  subject:
    topic: Image processing
  subject:
    topic: Acoustics
  subject:
    topic: Optics
  subject:
    topic: Optoelectronics
  subject:
    topic: Plasmons (Physics)
  subject:
    topic: Electrical engineering
  subject:
    topic: Physics
  subject:
    topic: Acoustics
  subject:
    topic: Optics, Optoelectronics, Plasmonics and Optical Devices
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Electrical Engineering
  classification: QC221-246
  classification: 534
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: The International Series in Engineering and Computer Science, 450
  identifier: 9780306470431
  identifier: http://dx.doi.org/10.1007/b117069
  record info:
    record creation date: 100301
    record change date: 20151204142004.0
    record identifier: 978-0-306-47043-1