Multidimensional Directional Filter Banks and Surfacelets

#SurfBox is a comprehensive toolbox developed using MATLAB and C++ that implements advanced directional filter banks and the surfacelet transform, as detailed in the research paper "Multidimensional Directional Filter Banks and Surfacelets." The toolbox includes core algorithms for multidimensional signal decomposition and reconstruction, featuring directional filter bank implementations with flexible frequency partitioning and surfacelet transforms capable of capturing surface-like singularities in higher-dimensional data. Key functions include directional decomposition routines, multiscale analysis modules, and efficient reconstruction algorithms optimized for handling large-scale multidimensional datasets. With an intuitive programming interface and computationally efficient implementations, SurfBox provides researchers and practitioners in signal and image processing with powerful tools for analyzing and processing multidimensional data using these cutting-edge techniques. The toolbox supports various applications including volumetric data analysis, video processing, and scientific data interpretation through its robust algorithmic framework.