Scientific article

The pairing of a wavelet basis with a mildly redundant analysis via subband regression

Published inIEEE transactions on image processing, vol. 17, no. 11, p. 2040-2052
Publication date2008

A distinction is usually made between wavelet bases and wavelet frames. The former are associated with a one-to-one representation of signals, which is somewhat constrained but most efficient computationally. The latter are over-complete, but they offer advantages in terms of flexibility (shape of the basis functions) and shift-invariance. In this paper, we propose a framework for improved wavelet analysis based on an appropriate pairing of a wavelet basis with a mildly redundant version of itself (frame). The processing is accomplished in four steps: 1) redundant wavelet analysis, 2) wavelet-domain processing, 3) projection of the results onto the wavelet basis, and 4) reconstruction of the signal from its nonredundant wavelet expansion. The wavelet analysis is pyramid-like and is obtained by simple modification of Mallat's filterbank algorithm (e.g., suppression of the down-sampling in the wavelet channels only). The key component of the method is the subband regression filter (Step 3) which computes a wavelet expansion that is maximally consistent in the least squares sense with the redundant wavelet analysis. We demonstrate that this approach significantly improves the performance of soft-threshold wavelet denoising with a moderate increase in computational cost. We also show that the analysis filters in the proposed framework can be adjusted for improved feature detection; in particular, a new quincunx Mexican-hat-like wavelet transform that is fully reversible and essentially behaves the (gamma/2)th Laplacian of a Gaussian.

  • *Algorithms
  • *Artifacts
  • Fractals
  • Image Enhancement/*methods
  • Image Interpretation, Computer-Assisted/*methods
  • Regression Analysis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • *Signal Processing, Computer-Assisted
  • Video Recording/*methods
Citation (ISO format)
UNSER, Michael, VAN DE VILLE, Dimitri. The pairing of a wavelet basis with a mildly redundant analysis via subband regression. In: IEEE transactions on image processing, 2008, vol. 17, n° 11, p. 2040–2052. doi: 10.1109/TIP.2008.2004607
Main files (1)
ISSN of the journal1057-7149

Technical informations

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