Applications and Developments of Deep Learning in Image Processing

Xiang Wang

2025

Abstract

Deep learning has become a game changer in image processing, and it has served as the most effective approach for most practical image processing problems like object recognition, image segmentation, and image enhancement, among others. Regarding deep learning for image processing, this paper relates these enhanced techniques with some of the applications and trends in health care, security, and self-driving cars. CNNs and GANs have become two indispensable techniques for future development in medical image analysis, facial recognition, and synthetic image synthesis. Moreover, advancements in deep learning architectures like transformer models and self-supervised learning have given further boost and generalizability. However, prospective issues like impractical computation needs, limited data availability, and issues of fairness and privacy are still not beyond the state of the art. However, following the propositions of this paper and considering recent literature, it is possible to discuss the major trends and potential developments in this area further to cover these challenges. Accordingly, while acknowledging the theoretical developments of deep learning and learning thereof from applications practiced in the literature, this paper outlines the role of deep learning in enhancing image processing technologies.

Paper Citation

in Harvard Style

Wang X. (2025). Applications and Developments of Deep Learning 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 277-284. DOI: 10.5220/0013687900004670

in Bibtex Style

@conference{icdse25,
author={Xiang Wang},
title={Applications and Developments of Deep Learning in Image Processing},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013687900004670},
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 - Applications and Developments of Deep Learning in Image Processing
SN - 978-989-758-765-8
AU - Wang X.
PY - 2025
SP - 277
EP - 284
DO - 10.5220/0013687900004670
PB - SciTePress