Image processing

In recent years, interest has grown in the study of sparse solutions to underdetermined systems of linear equations because of their many potential applications. In particular, these types of solutions can be used to describe images in a compact form, provided one is willing to accept an imperfect representation. We shall develop this approach in the context of sampling theory, and for problems in image compression.

Dorsal closure, an essential stage of Drosophila morphogenesis, provides a
model system for tissue dynamics. Our research approach is based on modern
genetics, in vivo imaging, laser microsurgery, digital image processing,
and quantitative modeling to identify the mechanical forces that connect
the genetic program of development to morphogenesis. Key to the dynamics
of dorsal closure are four biological processes, involving three tissues,
that are coordinated in space, synchronized in time, and remarkably

Motion picture restoration spans the gamut from archival preservation of
historically and culturally significant works to pragmatic treatment of
low budget titles to extensive polishing of today's blockbusters. Each
restoration project has its own idiosyncrasies, including
original storage technology, type of damage, and final delivery requirements.
Each project needs to strike its own balance between speed and accuracy of
processing. Restoration must be approached in a way that addresses the

In this talk we will review basic techniques for image inpainting
and present new ones for video inpainting under
constrained camera motion.

video recording only

Audio Video Recording only.

COMP-I is a program under the DARPA MONTAGE program focusing on the
construction of thin digital imaging systems. COMP-I uses optical
prefilters to encode the impulse response of multiple aperture imaging
systems. The COMP-I program is near the completion of phase I
development and has produced both visible and IR imaging systems based
on focal plane coding and diffractive coding elements. This talk will
review the design philosophy of COMP-I and describe recent experimental

Imaging sensors, hardware, and algorithms are under increasing
pressure to accommodate ever larger and higher-dimensional data sets;
ever faster capture, sampling, and processing rates; ever lower power
consumption; communication over ever more difficult channels; and
radically new sensing modalities. Fortunately, over the past few
decades, there has been an enormous increase in computational power
and data storage capacity, which provides a new angle to tackle these

An important problem (perhaps the most important problem to the
Department of Defense) in modern remote sensing is that of correctly
identifying potential targets at great distances and in all kind of
weather. Because of their ability to see through clouds and in the
absence of ambient radiation, active radar systems are usually
required for this task. The practical differences between ground and
airborne targets allow the airborne case to focus more on actual
imaging (as opposed to clutter rejection) and we will review the