Abstract
The application of Compressive Sensing (CS) for imaging has been extensively investigated in the literature, and the underlying mathematical principles are well understood. In this talk, we discuss the impact of real-world devices on the process of compressive sensing, and issues that must be addressed in practice. We will discuss a CS architecture based on a reflective spatial light modulator and a focal plane array with variable pixel sizes, as well as the experimental results for infra red imaging. In particular, we will present a preliminary sensitivity analysis, measured noise characteristics, and results of image reconstruction. We will also discuss the potential system level benefits of CS for infra-red imaging, and some of the challenges that need to be addressed in the future.
© 2014 Optical Society of America
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