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Image De-noising via Overlapping Wavelet Atoms

  • V. Bruni
  • D. Vitulano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)

Abstract

This paper focuses on a novel approach for image denoising: WISDOW (Wavelet based Image and Signal De-noising via Overlapping Waves). It is based on approximating any singularity by means of a basic one in a wavelet domain. This approach allows us to reach some interesting mathematical properties along with good performances in terms of both subjective and objective quality. In fact, achieved results are comparable to the best wavelet approaches requiring a low computational effort and resulting completely automatic.

Keywords

Wavelet Basis Image Denoising Wavelet Domain Recovered Image Hard Thresholding 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • V. Bruni
    • 1
  • D. Vitulano
    • 1
  1. 1.Istituto per le Applicazioni del Calcolo ”M. Picone”, C. N. R.RomeItaly

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