Enhancing Image Quality Using Advanced Deep Learning Techniques

Sajja Radha Rania, Modala Venkata Ranga Satya Pallavi, Chikkudu Sri Vardhan, Mannem Naveen Kumar Reddy, Kalwa Eswar

2025

Abstract

This work introduces a new approach for image super resolution using a specifically designed Generative Adversarial Network architecture with significant improvement in facial recognition. Our approach involves a two-stage training procedure where the discriminator is pre-trained on the whole dataset to strongly separate detailed features and minute differences between real images. After the discriminator builds a consistent baseline, the entire GAN model is trained with a reinforced generator including extra layers with the purpose of filtering noise and maintaining fine features. By enhancing the generator structure, the developed method not only generates high-quality images but also maintains important facial details, hence overcoming typical pitfalls in low resolution image re- construction. Experimental outcomes verify that this augmented GAN design successfully fills the gap between low resolution inputs and high-quality outputs, providing significant potential for applications in real life in face recognition and more.

Paper Citation

in Harvard Style

Rania S., Pallavi M., Vardhan C., Reddy M. and Eswar K. (2025). Enhancing Image Quality Using Advanced Deep Learning Techniques. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 579-586. DOI: 10.5220/0013902200004919

in Bibtex Style

@conference{icrdicct`2525,
author={Sajja Rania and Modala Pallavi and Chikkudu Vardhan and Mannem Reddy and Kalwa Eswar},
title={Enhancing Image Quality Using Advanced Deep Learning Techniques},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={579-586},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013902200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Enhancing Image Quality Using Advanced Deep Learning Techniques
SN - 978-989-758-777-1
AU - Rania S.
AU - Pallavi M.
AU - Vardhan C.
AU - Reddy M.
AU - Eswar K.
PY - 2025
SP - 579
EP - 586
DO - 10.5220/0013902200004919
PB - SciTePress