Bayesian anisotropic denoising in the Laguerre Gauss domain

@inproceedings{Ercole2008BayesianAD,
  title={Bayesian anisotropic denoising in the Laguerre Gauss domain},
  author={Chiara Ercole and Patrizio Campisi and Alessandro Neri},
  booktitle={Electronic Imaging},
  year={2008}
}
In this contribution, we propose an adaptive multiresolution denoising technique operating in the wavelet domain that selectively enhances object contours, extending a restoration scheme based on edge oriented wavelet representation by means of adaptive surround inhibition inspired by the human visual system characteristics. The use of the complex edge oriented wavelet representation is motivated by the fact that it is tuned to the most relevant visual image features. In this domain, an edge is… 

Circular Harmonic Functions: A unifying mathematical framework for image restoration, enhancement, indexing, retrieval and recognition

  • A. Neri
  • Computer Science
    2010 2nd European Workshop on Visual Information Processing (EUVIP)
  • 2010
This paper presents a review of the main properties of the Gauss-Laguerre Circular Harmonic Functions (CHF) particularly useful in image processing applications like restoration enhancement,

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