Comparison of compressive imaging and video techniques for threat detection applications

Jürgen Limbach; Christian Eisele

doi:10.1117/12.2636239

7 December 2022 Comparison of compressive imaging and video techniques for threat detection applications

Jürgen Limbach, Christian Eisele

Proceedings Volume 12274, Emerging Imaging and Sensing Technologies for Security and Defence VII; 122740F (2022) https://doi.org/10.1117/12.2636239
Event: SPIE Security + Defence, 2022, Berlin, Germany

Abstract

High performance imaging sensors are a fundamental requirement for many defense and security applications. The usually high cost of such sensors, however, prevents their broad deployment. Modern Computational Imaging approaches like Compressed Sensing (CS) promise cost efficient sensor architectures that might enable a wider usage of some sensor technologies. However, the technological potential for military applications still has to be verified. In order to test the capabilities of a CS-system for threat detection, a software framework for automated testing was implemented. The code contains different methods for scene modulation and image reconstruction. In our previous work, we studied the classic iterative optimization methods for image reconstruction with promising, but not completely satisfactory results. Therefore, we implemented another method. This CS video method is the ‘Fourier domain regularized inversion’ (FDRI) which promises real time single pixel video imaging. In the study presented here, we compare the rather new method with the already implemented optimization approaches regarding runtime, conventional image quality metrics and suitability for threat detection applications in different spectral bands.

Conference Presentation

Citation Download Citation

Jürgen Limbach and Christian Eisele "Comparison of compressive imaging and video techniques for threat detection applications", Proc. SPIE 12274, Emerging Imaging and Sensing Technologies for Security and Defence VII, 122740F (7 December 2022); https://doi.org/10.1117/12.2636239

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available