Hermitian wavelets are a family of continuous wavelets, used in the continuous wavelet transform. The Hermitian wavelet is defined as the derivative of a Gaussian distribution,[1]

where denotes the probabilist's Hermite polynomial. The normalization coefficient is given by,

The perfector in the resolution of the identity of the continuous wavelet transform for this wavelet is given by the formula,

Hermitian wavelets are defined for all positive .

In computer vision and image processing, Gaussian derivative operators of different orders are frequently used as a basis for expressing various types of visual operations; see scale space and N-jet.

Examples

The first three derivatives of the Gaussian function with ,

are,

and their norms . Normalizing the derivatives yields three Hermitian wavelets:

See also

References

  1. Brackx, F.; De Schepper, H.; De Schepper, N.; Sommen, F. (2008-02-01). "Hermitian Clifford-Hermite wavelets: an alternative approach". Bulletin of the Belgian Mathematical Society, Simon Stevin. 15 (1). doi:10.36045/bbms/1203692449. ISSN 1370-1444.
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