MATLAB GUI Interface for Image Denoising

Resource Overview

A MATLAB GUI-based program example for image denoising, capable of reading various image formats, selecting different denoising methods, and generating denoised images while simultaneously displaying the original, noisy, and denoised images in a single interface

Detailed Documentation

This is a MATLAB GUI-based program implementation for image denoising applications. The system supports reading multiple image formats using MATLAB's imread() function and provides interactive selection of various denoising algorithms through dropdown menus. Users can generate denoised images while simultaneously visualizing the original image, noise-added image, and processed denoised image in a unified interface for effective comparative analysis. The implementation incorporates additional functionality including parameter adjustment sliders for fine-tuning denoising intensity and file export capabilities using imwrite() to save processed images. Key algorithms may include wavelet-based denoising (wdenoise()), median filtering (medfilt2()), and non-local means denoising (NL-means) implementations. This GUI framework enables researchers and developers to conveniently conduct image denoising experiments and comparative studies through an intuitive visual interface.