Digital holography plays an increasingly important role for biomedical imaging; it has particularly low invasiveness
and allows quantitatively characterizing both amplitude and phase of propagating wave fronts. Fresnelets
have been introduced as both a conceptual and practical tool to reconstruct digital holograms, simulate the
propagation of monochromatic waves, or compress digital holograms. Propagating wavefronts that have a sparse
representation in a traditional wavelet basis in their originating plane have a similarly sparse representation in
propagation-distance-dependent Fresnelet bases. Although several applications have been reported, no implementation
has been made widely available. Here we describe a Matlab-based Fresnelets toolbox that provides a
set of user-friendly functions to implement the Fresnelet transform.