Steerable Pyramids Implementation

This documentation presents MATLAB-based implementations of steerable pyramids, designed for advanced image analysis applications. The core functionality includes pyramid construction algorithms that decompose images into orientation-selective subbands. Key components feature directional filter banks implemented through complex wavelet transforms, enabling multi-scale and multi-orientation feature extraction from source images. The code architecture demonstrates hierarchical decomposition where each pyramid level applies steerable filters at different orientations (typically 4-8 directions) using optimized convolution operations. Implementation details include bandpass filtering with recursive downsampling procedures and perfect reconstruction constraints. The modular design allows researchers to adapt the code for custom applications such as texture analysis, image enhancement, and computer vision tasks. Overall, this implementation provides both theoretical understanding and practical tools for sophisticated image analysis methodologies.