Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Deep learning enhancement of infrared face images using generative adversarial networks

Not Accessible

Your library or personal account may give you access

Abstract

This work presents a deep learning framework based on the use of deep convolutional generative adversarial networks (DCGAN) for infrared face image super-resolution. We use DCGAN for upscaling the images by a factor of 4×4, starting at a size of 16×16 and obtaining a 64×64 face image. Tests are conducted using different infrared face datasets operating in the near-infrared (NIR) and the long-wave infrared (LWIR) spectrum. We can see that the proposed framework performs well and preserves important details of the face. This kind of approach can be very useful in security applications where we can scan faces in the crowd or detect faces at a distance and upscale them for further recognition through an infrared or a multispectral face recognition system.

© 2018 Optical Society of America

Full Article  |  PDF Article
More Like This
Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network

Rui Zheng, Lei Liu, Shulin Zhang, Chun Zheng, Filiz Bunyak, Ronald Xu, Bin Li, and Mingzhai Sun
Biomed. Opt. Express 9(10) 4863-4878 (2018)

Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images

Chong Zhang, Kun Wang, Yu An, Kunshan He, Tong Tong, and Jie Tian
Biomed. Opt. Express 10(9) 4742-4756 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (19)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (4)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (12)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved