Super-Resolution Analysis of Animal Images Based on ESRGAN Model

Shaoxu Li

2023

Abstract

Image super-resolution (SR) plays a crucial role in enhancing the quality of images for society. This study introduces an Enhanced Super Resolution Generative Adversarial Network (ESRGAN) model designed specifically for improving the resolution of animal images. The objective of this paper is to explore the effect of different training datasets on the SR effect of specific animal target datasets by studying the models generated from different types of animal training datasets and similar animal training datasets. In addition, the effects of different types of animal image datasets on the performance of ESRGAN models are analyzed. Training datasets of multiple animal species are used to train different models which are trained under the same loss function. In addition, the target dataset is subjected to SR processing of species-specific animal images in this experiment to verify the effectiveness of this model in real-world applications. Finally, this study emphasizes the key role of dataset selection in the performance enhancement of ESRGAN models. This method provides an effective tool in the field of animal image processing that can be applied to a variety of real-world scenarios, thus contributing to the development of animal conservation, medical imaging, and scientific research.

Paper Citation

in Harvard Style

Li S. (2023). Super-Resolution Analysis of Animal Images Based on ESRGAN Model. In Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML; ISBN 978-989-758-705-4, SciTePress, pages 433-437. DOI: 10.5220/0012804200003885

in Bibtex Style

@conference{daml23,
author={Shaoxu Li},
title={Super-Resolution Analysis of Animal Images Based on ESRGAN Model},
booktitle={Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML},
year={2023},
pages={433-437},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012804200003885},
isbn={978-989-758-705-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Analysis and Machine Learning - Volume 1: DAML
TI - Super-Resolution Analysis of Animal Images Based on ESRGAN Model
SN - 978-989-758-705-4
AU - Li S.
PY - 2023
SP - 433
EP - 437
DO - 10.5220/0012804200003885
PB - SciTePress