Application and Optimisation of GAN in Image Processing

Shiying Luo

2025

Abstract

Since the introduction of Generative Adversarial Networks (GAN), it has rapidly emerged in the field of image processing and demonstrated its strong application potential.GAN breaks through the limitations of traditional generative models through the adversarial training mechanism between generators and discriminators, and is able to generate high-quality images without the need for large amounts of labelled data. The continuous optimisation and improvement of GAN models by researchers have driven the rapid development of GAN-based image processing techniques. These improvements are mainly in the fields of image synthesis, image translation and image style transfer. In this paper, we systematically review the research of GAN in the three key areas of image synthesis, image translation and image style transfer, focusing on the contributions of various improved models in terms of performance optimisation and defect overcoming. By comprehensively combing the existing research, this paper aims to summarise the key technological advances of GAN in the field of image processing, reveal the challenges and limitations of the current research, and provide theoretical basis and practical guidance for future research directions.

Paper Citation

in Harvard Style

Luo S. (2025). Application and Optimisation of GAN in Image Processing. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 492-496. DOI: 10.5220/0013700000004670

in Bibtex Style

@conference{icdse25,
author={Shiying Luo},
title={Application and Optimisation of GAN in Image Processing},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={492-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013700000004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Application and Optimisation of GAN in Image Processing
SN - 978-989-758-765-8
AU - Luo S.
PY - 2025
SP - 492
EP - 496
DO - 10.5220/0013700000004670
PB - SciTePress