Directory Containing Neighborhood Threshold-Based Wavelet Image Denoising
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Resource Overview
This directory contains programs for wavelet-based image denoising using neighborhood thresholding techniques. The main script wave_neighbor.m implements denoising for both 3×3 and 5×5 neighborhood configurations. The auxiliary function wov_win.m handles sliding window operations for 3×3 and 5×5 neighborhoods, while cacupsnr.m calculates performance metrics including Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR).
Detailed Documentation
This directory comprises a collection of MATLAB programs for wavelet image denoising utilizing neighborhood thresholding methodology. The primary script wave_neighbor.m implements denoising algorithms supporting both 3×3 and 5×5 neighborhood configurations through wavelet coefficient thresholding. The function file wov_win.m provides sliding window operations for neighborhood processing, efficiently handling both 3×3 and 5×5 window sizes with boundary condition management. Additionally, the cacupsnr.m function file calculates essential image quality metrics including Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) to quantitatively evaluate denoising performance. These programs collectively facilitate effective image noise reduction and quality enhancement through wavelet-domain processing with spatial neighborhood considerations.
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