Dual-Tree Complex Wavelet Transform Source Code
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Resource Overview
Detailed Documentation
This source code implementation, commonly referred to as the dual-tree complex wavelet transform, provides significant advantages for image processing professionals. The algorithm employs two parallel wavelet filter banks with carefully designed filters to achieve approximate analytic properties, enabling six-directional selectivity comparable to Gabor transforms while maintaining substantially lower redundancy. Key implementation features include quadrature filter pairs, directional decomposition across multiple scales, and efficient reconstruction algorithms. The code structure supports various image formats and includes demonstration scripts showcasing edge detection, texture analysis, and denoising applications. Available for immediate download and integration into existing image processing workflows.
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