"Enhancing Image Super-Resolution Using Deep Learning and Mathematical Optimization Techniques"

This paper explores the use Mathematical models play a crucial role in image processing, offering a powerful framework for analysing, manipulating, and understanding digital images.This abstract emphasizes the significance of mathematical models in image processing and their potential to enhance accuracy and efficiency in this domain.Image processing techniques aim to extract meaningful information from images, enabling applications such as object recognition, medical imaging, and video surveillance.However, raw image data often contain noise, irrelevant details, or complex patterns that hinder accurate interpretation.