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
OSA Recommended Articles
Cytopathological image analysis using deep-learning networks in microfluidic microscopy

G. Gopakumar, K. Hari Babu, Deepak Mishra, Sai Siva Gorthi, and Gorthi. R. K. Sai Subrahmanyam
J. Opt. Soc. Am. A 34(1) 111-121 (2017)

Large-scale pose-invariant face recognition using cellular simultaneous recurrent network

Yong Ren, Khan M. Iftekharuddin, and William E. White
Appl. Opt. 49(10) B92-B103 (2010)

Intelligent constellation diagram analyzer using convolutional neural network-based deep learning

Danshi Wang, Min Zhang, Jin Li, Ze Li, Jianqiang Li, Chuang Song, and Xue Chen
Opt. Express 25(15) 17150-17166 (2017)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

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

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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA 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 OSA member, or as an authorized user of your institution.

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