Dual-Tree Complex Wavelet Transform Source Code
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Resource Overview
This source code implements the Dual-Tree Complex Wavelet Transform (DT-CWT), offering six-directional selectivity comparable to Gabor transforms while maintaining significantly lower redundancy. The implementation provides valuable utility for image processing practitioners, featuring downloadable ready-to-use code with proper function documentation and MATLAB-compatible implementation.
Detailed Documentation
This source code implements the "Dual-Tree Complex Wavelet Transform," serving as an advanced image processing tool that maintains six-directional selectivity similar to Gabor transforms. The algorithm employs two parallel wavelet filter banks with carefully designed filters to achieve approximate shift-invariance and directional selectivity. Compared to Gabor transforms, this implementation demonstrates substantially reduced redundancy through efficient tree-structured decomposition, making it particularly suitable for specialized image processing applications like texture analysis and image enhancement. The code architecture includes core functions for forward and inverse transforms, with proper parameter handling for different decomposition levels. Notably, the source code is available for direct download and immediate implementation, featuring comprehensive comments and example usage scripts that demonstrate its practical application in image processing workflows.
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