An Imaging Architecture Based on Derivative Estimation Sensors

Authors:
Maria Petrou;Flore Faille
Affiliations:
Imperial College London, UK SW7 2AZ;Imperial College London, UK SW7 2AZ
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

An imaging architecture is proposed, where the first and second derivatives of the image are directly computed from the scene. Such an architecture bypasses the problems of estimating derivatives from sampled and digitised data. It, therefore, allows one to perform more accurate image processing and create more detailed image representations than conventional imaging. This paper examines the feasibility of such an architecture from the hardware point of view.