Search limited to:

clear all

2008, 2006, es_ES, Thesis edition: On the design of fast and efficient wavelet image coders with reduced memory usage Oliver Gil; José Salvador

User activity

Send to:
 
Bookmark: http://trove.nla.gov.au/version/6525931
Physical Description
  • Thesis
Published
  • 2008-05-06T10:48:38Z
  • 2008-05-06T10:48:30Z
  • 2006-02-15T23:00:00Z
Language
  • es_ES

Edition details

Title
  • On the design of fast and efficient wavelet image coders with reduced memory usage
Author
  • Oliver Gil
  • José Salvador
Other Authors
  • Pérez Malumbres
  • Manuel José
  • Departamento de INFORMATICA DE SISTEMAS Y COMPUTADORES
Published
  • 2008-05-06T10:48:38Z
  • 2008-05-06T10:48:30Z
  • 2006-02-15T23:00:00Z
Physical Description
  • Thesis
Subjects
Notes
  • Image compression is of great importance in multimedia systems and applications because it drastically reduces bandwidth requirements for transmission and memory requirements for storage. Although earlier standards for image compression were based on the Discrete Cosine Transform (DCT), a recently developed mathematical technique, called Discrete Wavelet Transform (DWT), has been found to be more efficient for image coding. Despite improvements in compression efficiency, wavelet image coders significantly increase memory usage and complexity when compared with DCT-based coders. A major reason for the high memory requirements is that the usual algorithm to compute the wavelet transform requires the entire image to be in memory. Although some proposals reduce the memory usage, they present problems that hinder their implementation. In addition, some wavelet image coders, like SPIHT (which has become a benchmark for wavelet coding), always need to hold the entire image in memory. Regarding the complexity of the coders, SPIHT can be considered quite complex because it performs bit-plane coding with multiple image scans. The wavelet-based JPEG 2000 standard is still more complex because it improves coding efficiency through time-consuming methods, such as an iterative optimization algorithm based on the Lagrange multiplier method, and high-order context modeling. In this thesis, we aim to reduce memory usage and complexity in wavelet-based image coding, while preserving compression efficiency. To this end, a run-length encoder and a tree-based wavelet encoder are proposed. In addition, a new algorithm to efficiently compute the wavelet transform is presented. This algorithm achieves low memory consumption using line-by-line processing, and it employs recursion to automatically place the order in which the wavelet transform is computed, solving some synchronization problems that have not been tackled by previous proposals. The proposed encode
  • 2387
Language
  • es_ES
Contributed by
OAIster

Get this edition

  • Set up My libraries

    How do I set up "My libraries"?

    In order to set up a list of libraries that you have access to, you must first login or sign up. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen.

  • All (1)
  • Unknown (1)
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.

User activity


e.g. test cricket, Perth (WA), "Parkes, Henry"

Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Be the first to add a tag for this edition

Be the first to add this to a list

Comments and reviews

What are comments? Add a comment

No user comments or reviews for this version

Add a comment