Wavelet Soft Threshold Denoising Using soft harr.rar
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Resource Overview
Wavelet Soft Threshold Denoising (soft harr.rar). Set the file directory as the working directory, then open wavlet.fig. Enter the noise intensity (between 0-0.1, excluding zero) in the noise input field. Click the process button to display experimental results including original image, noise-added image, denoised image comparison, and current PSNR value. wavlet.m contains the main program implementation with wavelet decomposition, threshold processing, and reconstruction functions.
Detailed Documentation
This implementation applies wavelet soft threshold denoising using the soft harr.rar method. First, set the file directory as the working directory and open the wavlet.fig interface file. Input the noise intensity parameter in the designated field, ensuring the value ranges between 0-0.1 (non-zero). Click the process button to execute the denoising algorithm, which will display comparative results including the original image, noise-corrupted image, denoised image, and the current Peak Signal-to-Noise Ratio (PSNR) value. The wavlet.m program file contains the core processing code that implements Haar wavelet decomposition, soft thresholding based on noise estimation, and wavelet reconstruction for image restoration.
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