Ridgelet Transform Source Code for Wavelet Analysis in MATLAB
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Resource Overview
MATLAB implementation of ridgelet transform for wavelet analysis, featuring image denoising, reconstruction capabilities, and accompanying research paper for reference. Includes detailed algorithm explanations and key function descriptions.
Detailed Documentation
This resource provides MATLAB source code for ridgelet transform implementation in wavelet analysis, encompassing functionalities for image denoising and signal reconstruction. The code demonstrates practical applications of ridgelet transforms through algorithmic implementations including:
- Multi-scale ridgelet decomposition using Radon transform
- Threshold-based denoising techniques in ridgelet domain
- Inverse transform algorithms for image reconstruction
Additionally, a relevant research paper is included for technical reference, offering theoretical background and performance comparisons. The implementation utilizes MATLAB's image processing toolbox and wavelet functions, providing customizable parameters for different denoising thresholds and reconstruction precision levels.
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