Since the invention of the microscope and the telescope, engineers
and scientists alike, have embarked on a perpetual quest to improve the
resolving power of imaging instruments. Ernst
Abbe was the first to recognize that the resolving power of an imaging
instrument is fundamentally limited by diffraction. Following Abbe's seminal work in 1873, the
scientific community has made numerous attempts to circumvent the diffraction
limit. The most important breakthroughs
came in the form of Aperture Synthesis and Super-Resolution
Microscopy, which revolutionized imaging at the astronomical and
microscopic scales. Their contributions
to imaging have been duly recognized with Nobel prizes.
Despite breakthroughs,
there exists a continuum of image scales between the microscopic and the
astronomical, where-in diffraction limits the resolving power of imaging
instruments. Super-Resolved
imaging at these scales is of significant military interest as it increases the
tactical advantage of armed forces immersed in hostile environments.
With the aid of DoD
funding, my group at SMU has developed
computational imagers whose resolving power is fully decoupled from the
constraints imposed by the collection optics (such as diffraction and
aberrations) and the detector (varying degrees of aliasing ranging from single
photodiode to focal plane array). Additionally,
these imagers feature support for point spread function engineering, foveated
imaging and ranging. Such disparate
capabilities are realized by processing images acquired under spatially
structured illumination. The Moiré
fringes arising from the heterodyning of object detail and the structured
illumination encapsulate spatial frequencies lost to diffraction. The
deformations in the phase of the detected illumination pattern, encode range
information.
Figure 1
Select experimental results that highlight the capabilities of SMU’s active
computational imager. Please note that in each example the super-resolved
image contains spatial detail past the diffraction limit of the collection
optics. |
The imagers discussed in the previous section are precursors to a
fundamentally new class of imagers dubbed "adaptive computational
imagers", whose functionality may be quickly adapted to suit
evolving tactical needs. Among other
things, it is expected that these imagers will support target/threat detection
and identification at increased standoff, in a wide field of regard, with the
highest clarity, through the cover of darkness and obscurants. The following innovations in optical imaging
have precipitated the development of adaptive computational imagers
1. Emergence of computational imagers that afford novel imaging
capabilities by manipulating the light distribution in the object and image
volumes. Examples of novel capabilities
includes simultaneous super-resolved imaging and ranging.
2.
Development of
engineered optical beams that can squeeze light into regions smaller than the
diffraction limit, albeit at the expense of side-lobes.
·
Technical Brief [Download PDF]
·
Super-Resolution
Landscape [Download PDF]
·
Slide deck [Download PDF]
·
Supplementary slides [Download PDF]
·
Poster [Download PDF]
·
Pushing the limits of imaging
using patterned illumination, PhD Dissertation, SOUTHERN METHODIST
UNIVERSITY, 2014. [Link]
·
Optical super resolution
using a lattice of light spots, Proc. of Computational
Optical Sensing & Imaging, 2014. [Link]
·
Parsimony in PSF engineering
using patterned illumination, Proc. of Computational Optical Sensing & Imaging, 2013. [Link]
·
Pushing the limits of digital
imaging using structured illumination, Proc. of the International Conference on Computer Vision, Nov 2011. [Link]
·
Perspective imaging under
structured light, Proc. of the European
Conference on Computer Vision, 405-419, Sep 2010. [Link]
[coming
soon]
·
Dr. Marc Christensen
(SMU)
·
Dr. Predrag Milojkovic
(DARPA DSO…previously at ARL)
·
Indranil Sinharoy (SMU)
·
Dr. Vikrant Bhakta
(Texas Instruments….previously at SMU)
·
Dr. Panos Papamichalis
(SMU)
We would also to
acknowledge the financial support provided by the U.S Army Research Laboratory
under Cooperative Agreement Number W911NF-06-2-0035.
The views and
conclusions contained in this document are those of the authors and should not
be interpreted as representing the official policies, either expressed or
implied, of the Army Research Laboratory or the U.S. Government.