<title>Fresnelets: a new wavelet basis for digital holography</title>
Author(s) -
Michael Liebling,
Thierry Blu,
Michaël Unser
Publication year - 2001
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.449721
Subject(s) - wavelet , wavelet transform , basis (linear algebra) , holography , discrete wavelet transform , stationary wavelet transform , mathematics , second generation wavelet transform , wavelet packet decomposition , fast wavelet transform , spline (mechanical) , computer science , artificial intelligence , optics , physics , geometry , thermodynamics
We present a new class of wavelet bases---Fresnelets---which is obtained by applying the Fresnel transform operator to a wavelet basis of L2. The thus constructed wavelet family exhibits properties that are particularly useful for analyzing and processing optically generated holograms recorded on CCD-arrays. We first investigate the multiresolution properties (translation, dilation) of the Fresnel transform that are needed to construct our new wavelet. We derive a Heisenberg-like uncertainty relation that links the localization of the Fresnelets with that of the original wavelet basis. We give the explicit expression of orthogonal and semi-orthogonal Fresnelet bases corresponding to polynomial spline wavelets. We conclude that the Fresnel B-splines are particularly well suited for processing holograms because they tend to be well localized in both domains.
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