Filters for anisotropic wavelet decompositions
This work provides a theoretical foundation for constructing orthogonal anisotropic wavelets, which is relevant for researchers in harmonic analysis and signal processing, but the results are theoretical and incremental.
The paper presents a simple construction for QMF filterbanks for anisotropic wavelet decompositions, enabling orthogonal wavelet analysis in arbitrary dimensions and scalings, and characterizes conditions for refinable functions and wavelets.
Like the continous shearlet transform and their relatives, discrete transformations based on the interplay between several filterbanks with anisotropic dilations provide a high potential to recover directed features in two and more dimensions. Due to simplicity, most of the directional systems constructed so far were using prediction--correction methods based on interpolatory subdivision schemes. In this paper, we give a simple but effective construction for QMF (quadrature mirror filter) filterbanks which are the discrete object between orthogonal wavelet analysis. We also characterize when the filterbank gives rise to the existence of refinable functions and hence wavelets and give a generalized shearlet construction for arbitrary dimensions and arbitrary scalings for which the filterbank construction ensures the existence of an orthogonal wavelet analysis.