The objective of this research was to build a reprogrammable computational imager utilizing on-chip analog computations for the purpose of studying the capabilities of integrated sensing and processing. Unlike conventional imaging systems, which acquire image data and
perform calculations on it, this system tightly integrates the computation
and sensing into one process. This allows the exploration of intelligent
and efficient sensory and processing. The IC architecture and circuit designs
have focused on wide dynamic range signals. The fundamental computation
performed is a separable two-dimensional transform. This allows various
operations, including block transformations and separable convolutions. The operations
are reprogramable and utilize analog memory and processing along with
digital control. The random access to both the image plane and the
computational operations allows for intraframe transform variations creating a hardware foundation for dynamic sampling and computation.
One can also capture scenes with non-uniform resolution. Advantages, including utilization of feedback from processing to sensing and extensions of the technology including support
for wavelets and larger transforms are also explored.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/33943 |
| Date | 06 April 2009 |
| Creators | Robucci, Ryan Wayne |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Detected Language | English |
| Type | Dissertation |
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