A fast scheme for multiscale signal denoising

Vittoria Bruni, Benedetto Piccoli, Domenico Vitulano

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper exploits the time scale structure of the wavelet coefficients for implementing a novel and fast scheme for signal and image denoising. The time scale behavior of the coefficients is rigorously modeled through superposition of simple atoms using suitable projection spaces. This result allows us to avoid expensive numerical schemes requiring a low computational effort. Extensive experimental results show the competitive performances of the proposed approach.

Original languageEnglish (US)
Title of host publicationImage Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings
Number of pages10
StatePublished - 2008
Externally publishedYes
Event5th International Conference on Image Analysis and Recognition, ICIAR 2008 - Povoa de Varzim, Portugal
Duration: Jun 25 2008Jun 27 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5112 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other5th International Conference on Image Analysis and Recognition, ICIAR 2008
CityPovoa de Varzim

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


  • Image and signal denoising
  • Modulus maxima representation
  • Time frequency atoms
  • Time scale trajectories
  • Wavelet transform


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