SURE and LAWMLShrink Image Denoising Methods with MATLAB Implementation

MATLAB implementation of SURE and LAWMLShrink image denoising algorithms featuring wavelet thresholding techniques, comprehensive code documentation, and performance evaluation metrics for effective noise removal.

Curvelet Transform for Image Denoising

The Curvelet transform is a novel multi-scale transformation developed from wavelet transform foundations. Its structural elements incorporate scale and position parameters, with the addition of orientation parameters that provide superior directional characteristics compared to wavelets. This implementation demonstrates a practical image denoising approach using Curvelet transform, featuring MATLAB-based implementation with frequency partitioning and directional filtering components.