Development Package for Dual-Tree Complex Wavelet Transform

This is a development package for dual-tree complex wavelet transform (DTCWT) originally developed by foreign researchers, supporting both 1D and 2D signal processing. The package includes detailed documentation that helps users understand and utilize the toolkit effectively. Key implementations include directional selectivity in 2D processing and near-shift invariance properties through complementary tree structures. The package enables various signal and image processing tasks such as denoising using thresholding algorithms, feature extraction through multi-scale analysis, and image compression via coefficient quantization. It provides extensive functions and methods including decomposition/reconstruction routines (dtcwt2d, idtcwt2d), subband processing capabilities, and customization interfaces, allowing users to adapt and extend the functionality according to their specific requirements. Suitable for both academic research and engineering applications, this toolkit offers convenient and efficient solutions for complex computational tasks in wavelet-based signal processing.