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Published on: August 16, 2012
Prototype development and field-test results of an adaptive multiresolution PANOPTES imaging architecture
Manjunath Somayaji1, Marc P Christensen, Esmaeil Faramarzi
1Department of Electrical Engineering, Southern Methodist University, Dallas, Texas 75275-0338, USA. msomayaj@lyle.smu.edu
Applied Optics
|February 7, 2012
Summary
This study presents PANOPTES, an adaptive imaging system achieving 4x resolution enhancement. Its digital superresolution algorithm provides high-resolution imagery for day and nighttime conditions.
Area of Science:
- Optics and Photonics
- Computational Imaging
- Sensor Technology
Background:
- Adaptive imaging systems are crucial for enhanced target acquisition.
- Computational imaging offers novel approaches to overcome traditional sensor limitations.
- Existing systems often face challenges in achieving high resolution across diverse conditions.
Purpose of the Study:
- To present the design, development, and field-test results of the PANOPTES system.
- To describe the adaptive architecture and control system for precise field-of-view steering.
- To demonstrate the digital superresolution capabilities for enhanced image quality.
Main Methods:
- Development of a visible-band, folded, multiresolution, adaptive computational imaging system (PANOPTES).
- Implementation of a control system for reliable field-of-view steering and subpixel target registration.
- Application of a digital superresolution algorithm to field-test data.
Main Results:
- Successful field tests of the adaptive PANOPTES system under nighttime and daytime conditions.
- Demonstration of subpixel target registration accuracy through precise field-of-view steering.
- Achieved a resolution enhancement factor of 4 over the detector Nyquist limit using digital superresolution.
Conclusions:
- The adaptive PANOPTES architecture effectively enhances image resolution.
- The digital superresolution algorithm is capable of producing high-resolution imagery from adaptive systems.
- PANOPTES demonstrates significant potential for applications requiring high-precision imaging in various lighting conditions.
