A geometric method for image recovery through optical turbulence

Speaker: Mario Micheli , Department of Mathematics, University of Washington

Date: Wednesday, January 22, 2014

Time: 11:00 AM to 12:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: Seminar Room 32-D463 (Star)

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Host: John W. Fisher, MIT CSAIL

Contact: Oren Freifeld, freifeld@csail.mit.edu

Relevant URL: http://www.math.washington.edu/~micheli/index.html

Speaker URL: None

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Reminders to: seminars@csail.mit.edu, vgn@csail.mit.edu

Reminder Subject: TALK: A geometric method for image recovery through optical turbulence

A geometric method for image recovery through optical turbulence

The phenomenon that is commonly referred to as optical "turbulence" in
imaging is caused by the time and space-varying refraction index of
the air which is due, among other factors, to temperature, air
pressure, humidity, and wind conditions between the acquired scene and
the image-capturing device. The resulting image sequence is also
affected by the different and changing lighting conditions within the
scene, by the actual distance between the observed objects and the
camera, and by other artifacts introduced by the device itself. The
above described distortion may be modeled, at least to a first
approximation, as the combined effect of (i) a blur with an
anisoplanatic point spread function and (ii) a time-dependent
deformation of the image domain. In this talk I will describe an
algorithm that, starting from this observation, first employs a
geometric method for restoring the structure of the scene, and then
uses variational deconvolution techniques to yields a crisp, final
result. The algorithm may be viewed as an alternate minimization
procedure of a functional that includes a data matching term, a
regularization term for the deformations, and a regularization term
for the recovered image. The algorithm has proven very effective for
the the recovery of images affected by both ground-level atmospheric
blur, and by underwater turbulence caused by temperature gradients.

Short Bio:
Mario Micheli completed his PhD in Applied Mathematics at Brown
University in 2008, under the supervision of David Mumford, on the
differential geometry of shape spaces. He then held visiting positions
in the applied mathematics group of UCLA and in the MAP5 lab of
Université Paris Descartes. He is currently Acting Assistant Professor
at the Department of Mathematics of the University of Washington. His
interests lie in the areas of image and video processing, differential
geometry, shape analysis, variational methods, inverse problems, and
control theory.

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This event is not part of a series.

Created by Oren Freifeld Email at Sunday, January 12, 2014 at 8:40 PM.