S. M

Evaluation of noise reduction methods in digital images: Classical filtering vs adaptive learning-based models

A systematic comparison between classical filtering and modern adaptive denoising models using various levels of image datasets affected with Gaussian, salt-and-pepper, and speckle noise reveals that learning-based models always exceed traditional filters, specifically in preserving structural information, texture deta...