Time-scale dependencies for image compression

V. Bruni, B. Piccoli, D. Vitulano

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The definition of an atomic representation of the wavelet transform of a signal allows us to write the evolution law through scales for modulus maxima of the transform. Although this result is very general and useful for various fields of image processing, we focus on its application to signal and image compression. We propose a simple trick for taking advantage from the law without directly solving its corresponding partial differential equation. Preliminary experimental results show that the proposed approach out-performs available compression techniques.

Original languageEnglish (US)
Pages (from-to)44-55
Number of pages12
JournalJournal of Multimedia
Volume1
Issue number1
DOIs
StatePublished - 2006
Externally publishedYes

ASJC Scopus subject areas

  • Media Technology
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Keywords

  • Image compression
  • Sparse representation
  • Time-scale dependencies
  • Wavelet transform

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