Title: Tutorial on Computational Optical Imaging
1Tutorial on Computational Optical Imaging
- University of Minnesota
- 19-23 September
- David J. Brady
- Duke University
- www.disp.duke.edu
2Lectures
- Computational Imaging
- Geometric Optics and Tomography
- Fresnel Diffraction
- Holography
- Lenses, Imaging and MTF
- Wavefront coding and focal plane sampling
- Interferometry and the van Cittert Zernike
Theorem - Optical coherence tomography and modal analysis
- Spectra, coherence and polarization
- Computational spectroscopy and imaging
3Lecture 7. Inteferometry and the van Cittert
Zernike Theorem
- Propagation of Coherence
- The van Cittert Zernike Theorem
- Interferometric Imaging
4Propagation of the Cross Spectral Density
5Incoherent Input Distribution
6Free Space Propagation
7Coherence Increases on Propagation
8Imaging Modalities
Improved sensors and processors are breaking down
the differences between imaging in the radio,
optical and x-ray spectra. AFOSR support for
phase sensitive optical detectors has enabled
optical imaging without lenses.
9Literature
Marks, D.L., et al., Visible cone-beam tomography
with a lensless interferometric camera . Science,
1999. 284 (5423) p. 2164-2166 Marks, D.L., R.A.
Stack, and D.J. Brady, Three-dimensional
coherence imaging in the Fresnel domain. Applied
Optics, 1999. 38(8) p. 1332-1342.
10History
11(No Transcript)
12Mutual Intensity Radiated from an Incoherent
Source Distribution
13Far Field van Cittert Zernike Theorem
14Fresnel Zone van Cittert Zernike Theorem
15(No Transcript)
16(No Transcript)
17(No Transcript)
18Measurement of Coherence Functions
Incoherent source distributions gain coherence on
propagation. Detecting this coherence allows
source reconstruction.
19Michelson Stellar Interferometer
20Band Volume
21Interferometric Imaging
Rotational Shear Interferometer
RSI Design
D. Marks, R. Stack, D. Brady, Applied Optics, 38,
pp. 1332-1342(1999)
22Recovery of I(r,w) from G
beam splitter
90º shearing mirror
camera
90º dither mirror
translation platform
input aperture
- Sample over the coherence length of the
source. - Resample the data from to
- Fourier transform to get
23What does the RSI measure?
The field on arm 1 is
The field on arm 2 is
24Intensity on the RSI Sensor Plane
25Data Collected by the RSI
Longitudinal Pixel Scan
Spatial Map of Transform Data
Fourier Transform of Pixel Scan
26Reconstructed Image
27RSI DATA
2 point sources
Experimental Mutual Intensity
28Other Examples of RSI Reconstructions
Using path delay in one arm of the RSI,
wavelength information can be obtained, as in
this composite color image.
Image contains two objects, one of which is on
the aperture of the RSI, the other of which is 1
meter away.
High depth-of-field
29Why use an RSI?
An infinite depth of field image.
303D Imaging
31(No Transcript)
32(No Transcript)
33(No Transcript)
344D Coherence Imaging
Example 3
556-581 nm
609-640 nm
35Interferometric Telescopes
http//planetquest.jpl.nasa.gov/index.cfm
36Interesting Mathematical Issues
- Coherence functions fully describe the optical
field from boundary conditions, but are not easy
to measure. The intensity every where in a volume
also fully characterizes the field. What is the
best measure in terms of minimal error in
estimation and minimal sampling?
37Measuring W without Measuring W
Daniel L. Marks, Ronald A. Stack, David J. Brady,
Digital Refraction Distortion Correction with an
Astigmatic Coherence Sensor, Applied Optics-IP,
Volume 41, Issue 29, 6050-6054 (October 2002)
Marks, D.M., R.A. Stack, and D.J. Brady,
Astigmatic coherence sensor for digital imaging.
Optics Letters, 2000. 25(23) p. 1726-1728.