Hurdles in the implementation of compressive sensing for imaging and ways to overcome them

Adrian Stern; Isaac Y. August; Yaniv Oiknine

doi:10.1117/12.2224702

20 May 2016 Hurdles in the implementation of compressive sensing for imaging and ways to overcome them

Adrian Stern, Isaac Y. August, Yaniv Oiknine

Proceedings Volume 9870, Computational Imaging; 987006 (2016) https://doi.org/10.1117/12.2224702
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

The theory of compressive sensing (CS) has opened up new opportunities in the field of imaging. However, its implementation in this field is often not straight-forward and the optical imaging system engineer encounters several hurdles on the way of compressive imaging (CI) realization. The principles of CI design may differ drastically from the principles used for conventional imaging. Analytical tools developed for conventional imaging may not be optimal for compressive imaging. Nor are the conventional imaging components. Therefore often the CI designer needs to develop new tools, and imaging schemes. In this paper we overview the main challenges that might arise in the design of compressive imaging systems. The challenges are demonstrated through four tasks and systems: compressive two dimensional (2D) imager, compressive motion detection, compressive spectral imaging and compressive holography.

Citation Download Citation

Adrian Stern, Isaac Y. August, and Yaniv Oiknine "Hurdles in the implementation of compressive sensing for imaging and ways to overcome them", Proc. SPIE 9870, Computational Imaging, 987006 (20 May 2016); https://doi.org/10.1117/12.2224702

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