Paper
27 August 2010 Resource allocation in coded aperture sensor systems
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Abstract
We have previously reported the use of coded aperture for the design of wide area imaging sensors. Such sensors can allow the rate and resolution of the sensed information to be controlled by varying the sequence of codes used to acquire and reconstruct the data. However, since sensor resources are finite, it is essential to develop a framework for optimizing their allocation with respect to dynamic scene content over a large area. In this paper, we discuss an approach for achieving this using the principle of highly optimized tolerance (H.O.T) [1] which provides a theoretical basis for allocating resources in response to events to minimize a user defined loss function. Some results of initial simulations are presented to illustrate the concept.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abhijit Mahalanobis and Robert Muise "Resource allocation in coded aperture sensor systems", Proc. SPIE 7818, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, 78180C (27 August 2010); https://doi.org/10.1117/12.863259
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Staring arrays

Imaging systems

Coded apertures

Camera shutters

Electronics

Image processing

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