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: Recursive Block Coding for Image Data Compression
  name:
    name part: Farrelle, Paul Michael.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 1990
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xxviii, 297 pages 90 illustrations)
  abstract: Recursive Block Coding, a new image data compression technique that has its roots in noncausal models for 1d and 2d signals, is the subject of this book. The underlying theory provides a multitude of compression algorithms that encompass two course coding, quad tree coding, hybrid coding and so on. Since the noncausal models provide a fundamentally different image representation, they lead to new approaches to many existing algorithms, including useful approaches for asymmetric, progressive, and adaptive coding techniques. On the theoretical front, the basic result shows that a random field (an ensemble of images) can be coded block by block such that the interblock redundancy can be completely removed while the individual blocks are transform coded. On the practical side, the artifact of tiling, a block boundary effect, present in conventional block by block transform coding techniques has been greatly suppressed. This book contains not only a theoretical discussion of the algorithms but also exhaustive simulation and suggested methodologies for ensemble design techniques. Each of the resulting algorithms has been applied to twelve images over a wide range of image data rates and the results are reported using subjective descriptions, photographs, mathematical MSE values, and h-plots, a recently proposed graphical representation showing a high level of agreement with image quality as judged subjectively.
  note: by Paul Michael Farrelle.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Computer graphics
  subject:
    topic: Computer vision
  subject:
    topic: Computer graphics
  subject:
    topic: Computer science
  subject:
    topic: Computer vision
  classification: TA1637-1638
  classification: 006.6
  classification: 006.37
  identifier: 9781461396765 (electronic bk.)
  identifier: 146139676X (electronic bk.)
  identifier: 9781461396789
  identifier: 1461396786
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422210553.4
    record identifier: in00003571997
    language of cataloging:
      language term: eng