Christopher Huff, University of Central Florida


Distributed Compressive Imaging

Abstract: We consider the problem of compressive imaging for distributed imaging sensors. Distributed Compressive Imaging offers joint image compression/reconstruction from imaging sensors which have overlapping fields-of-view. When viewed as a composite image sampling mechanism, a network of imaging sensors could transmit dramatically less data than current technologies while maintaining or surpassing image reconstruction quality of the underlying scene. We present performance results as a function of the number of cameras, transmission bandwidth, and camera perspective registration accuracy.

Collaborator: Robert Muise (University of Central Florida)