Digital images are often subjected to various types of noise during acquisition, transmission, or processing, which deteriorates their quality and affects subsequent analysis or interpretation. In this research paper, we present a comprehensive comparative study of different image filtering techniques for the removal of noise from digital images using MATLAB Graphical User Interface (GUI). The study encompasses common types of noise such as Gaussian noise, salt and pepper noise, and speckle noise, and evaluates the performance of filtering techniques including mean filtering, median filtering, and Gaussian filtering. The effectiveness of each technique is analyzed based on parameters such as peak signal-to-noise ratio (PSNR) and mean squared error (MSE). Through this comparative analysis, insights into the strengths and weaknesses of each filtering technique are provided, aiding in the selection of the most suitable method for noise reduction in specific applications.

Keywords— image processing, Noise removal, filtering, mean, median, MATLAB GUI