Non-Local Means Algorithm Toolbox with Implementation Code

This toolbox provides a complete implementation of the non-local means algorithm for image processing applications. The non-local means algorithm is a significant method in image processing that denoises and enhances images by comparing similarity between different regions across the entire image. The toolbox includes all necessary code and functions to implement the non-local means algorithm, featuring key components such as patch similarity computation, weight calculation using Gaussian-weighted Euclidean distance, and efficient neighborhood searching. Users can easily apply this algorithm for various image processing tasks through well-structured MATLAB functions that handle patch extraction, similarity assessment, and pixel value averaging. The implementation supports customizable parameters including search window size, patch dimensions, and filtering parameters, allowing researchers and developers to adapt the algorithm for specific image processing requirements.