The last decade has seen unprecedented advances in the large-scale deployment, coordination, and monitoring of ubiquitous imaging systems in diverse and complex environments and serving a wide variety of purposes. Over the past 50 years a wide variety of novel imaging systems have been developed to work in different regions of the electromagnetic spectrum (from radio waves to X-rays) and which often differ significantly in format and function from the conventional visible imaging systems. These new imaging systems have been developed to serve a huge spectrum of applications ranging from astronomy, microscopy, medicine, and defense. Major government and industry research programs currently seek to develop and demonstrate a true revolution in imaging by implementing an intelligent integration of the advancing capabilities of the individual wavefront, detection, and processing subsystems.

Integration of Sensing and Processing (ISP) will leverage mathematical advances the way an earlier generation exploited mathematical ideas to create the foundations of Digital Signal Processing (DSP). However, in ISP advanced mathematics will play an even larger role, with an impact that now transcends the digital processor subsystem and extends across all sensor/exploitation subsystems. Fundamental advances in information science, optimization across subsystem boundaries, physical layer modeling, and real time adaptive control will be required to enable imaging systems integrating processing functionality directly into the front end of the sensor to support reduction of data dimensionality prior to digitization.

This workshop is being organized to address key issues in ISP, and will bring leading researchers in this emerging field, as well as potential contributors in other related areas.