An Iris Image Super-Resolution Model Based on Swin Transformer and Generative Adversarial Network
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and the Generative Adversarial Network (GAN), is i...
Main Authors: | Hexin Lu, Xiaodong Zhu, Jingwei Cui, Haifeng Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/17/3/92 |
Similar Items
-
SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution
by: Jingzhi Tu, et al.
Published: (2022-01-01) -
A Survey of Super-Resolution in Iris Biometrics With Evaluation of Dictionary-Learning
by: Fernando Alonso-Fernandez, et al.
Published: (2019-01-01) -
Spatial Transformer Generative Adversarial Network for Robust Image Super-Resolution
by: Hossam M. Kasem, et al.
Published: (2019-01-01) -
Single Image Super-Resolution Reconstruction Method for Generative Adversarial Network
by: PENG Yanfei, GAO Yi, DU Tingting, SANG Yu, ZI Lingling
Published: (2020-09-01) -
Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution
by: Chi-En Huang, et al.
Published: (2021-11-01)