Super-resolution algorithm applied to images acquired at millimeter wave frequency in single pixel and computational ghost imaging configurations

ABSTRACT

The lack of low cost, high-resolution two-dimensional imaging detectors and the expensiveness of the measurements make millimeter wave imaging challenging. Single detector configurations are promising to solve data acquisition problem in millimeter wave imaging. In this study, millimeter wave imaging in transmission mode is done with single pixel imaging and computational ghost imaging configurations. In order to reduce the number of measurements in each configuration, Compressed Sensing architecture is used. To increase the image resolution, software-based super-resolution is applied. To the best of our knowledge, this is first study comparing the computational ghost imaging with single pixel imaging, besides software-based super-resolution method is applied to the real world millimeter wave images. It is seen that super-resolution increases the quality in both configurations while computational ghost imaging has better quality compared to single pixel imaging in millimeter waves.

KEYWORDS:

• Compressed sensing
• single pixel imaging
• computational ghost imaging
• millimeter wave imaging
• super-resolution
• image quality assessment

Acknowledgments

The authors also would like to thank Mustafa Mete and Ali Değirmenci for their helps during experiments.

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Esra Şengün Ermeydan http://orcid.org/0000-0002-5953-4301

Additional information

Funding

This study is partially funded under the Ankara Yıldırım Beyazıt University's Projects Office Grant No. AYBU-2016-BAP-3020 about the development of compressive sensing based imaging at TeraHertz band.

Notes on contributors

Esra Şengün Ermeydan

Esra Şengün Ermeydan received her BS, MS and PhD degrees all in electrical and electronics engineering from Bilkent University, Middle East Technical University (METU) and Ankara Yıldırım Beyazıt University (AYBU) in 2007, 2010 and 2019 respectively. She worked as a radar and electronics countermeasure researcher in TUBITAK ILTAREN from 2007 to 2013. She is currently a research and teaching assistant in AYBU. Her main research interests focus on computational imaging and radar signal processing.

İlyas Çankaya

İlyas Çankaya received his PhD in 1998 from the University of Sussex. His current research interests include control systems, nonlinear frequency response analysis, signal, and image processing. He has been working in the Department of Electrical and Electronics Engineering, AYBU.

Asaf Behzat Şahin

Asaf Behzat Şahin received his BS degree in electrical electronics engineering from METU, Turkey in 1996, and MS and PhD degrees from USC in 1998 and 2003, respectively. He joined the Electrical Electronics Engineering Department, METU, 2004. In 2012, he is with the Electrical Electronics Engineering Department, AYBU, Ankara. His major research interests are fiber optics, terahertz, millimeter waves, and remote imaging. He has two international patents in the field of optical communications, and more than 70 research publications.