Compressive Optical Imaging Systems - Theory, Devices and Implementation

Abstract

Standard Form 298 Prescribed by ANSI-Std Z39-18 REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Rice University 6100 Main St. MS 16 Houston TX 77005 PERFORMING ORGANIZATION REPORT NUMBER SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Dennis Healy DARPA, Microsystems Technology Office 3701 N. Fairfax Dr. Arlington VA 22203-1714 SPONSOR/MONITOR'S ACRONYM(S)DARPA MTO/SPAWAR SPONSORING/MONITORING AGENCY REPORT NUMBER DISTRIBUTION AVAILABILITY STATEMENTApproved for public release; distribution is unlimited SUPPLEMENTARY NOTES ABSTRACTIn this project we expanded the theory of compressive sensing and explored the connection of CS to advanced optical imaging systems. In regard to theory we incorporated a Hidden Markov Tree signal model into existing CS theory and produced an algorithm for fast signal recover.We physically implemented CS on a single-pixel imaging testbed and analyzed its performance against existing multiplexing schemes. The insight of CS theory and experience in CS implementation culminated with the creation of our single-shot hyperspectral imager. SUBJECT TERMSanalog-to-information conversion, compressive sampling, sparsity, random filter, random sampling