Bayesian and Universal Threshold Soft-Thresholding Image Denoising Methods
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Resource Overview
MATLAB implementations of Bayesian and universal threshold soft-thresholding image denoising algorithms with detailed code explanations and wavelet transform applications
Detailed Documentation
This repository provides MATLAB implementations of Bayesian threshold and universal threshold soft-thresholding methods for image denoising. The implementations include wavelet decomposition using functions like wavedec2 for 2D signals, threshold calculation methods (Bayesian risk minimization and universal threshold formula), and soft-thresholding operations using wthresh function. The code demonstrates proper handling of wavelet coefficients at different decomposition levels and includes inverse wavelet transformation using waverec2 for image reconstruction. These implementations serve as practical references for understanding wavelet-based denoising techniques and their MATLAB implementation.
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