Empirical Evaluation of Convolutional Neural Networks for Denoising Images

Noise removal from images, or image denoising, is a critical task in computer vision, aiming to enhance image quality by suppressing unwanted random variations while preserving essential features. Convolutional Neural Networks (CNNs) have emerged as a powerful tool for this purpose, leveraging their ability to learn hierarchical representations of data.