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Tutorial on Computational Optical Imaging

Lectures. Computational ImagingGeometric Optics and TomographyFresnel DiffractionHolographyLenses, Imaging and MTFWavefront CodingInterferometry and the van Cittert Zernike TheoremOptical coherence tomography and modal analysisSpectra, coherence and polarizationComputational spectroscopy an

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Tutorial on Computational Optical Imaging

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    1. Tutorial on Computational Optical Imaging University of Minnesota 19-23 September David J. Brady Duke University www.disp.duke.edu

    2. Lectures Computational Imaging Geometric Optics and Tomography Fresnel Diffraction Holography Lenses, Imaging and MTF Wavefront Coding Interferometry and the van Cittert Zernike Theorem Optical coherence tomography and modal analysis Spectra, coherence and polarization Computational spectroscopy and imaging

    3. Lecture 5. Lenses, Imaging and MTF Outline Thin lens transmittance and thin lens systems Image formation The coherent transfer function The optical transfer function MTF

    4. Focal Imaging

    5. Impulse response characterization

    6. Impulse response characterization

    7. Impulse response characterization

    8. Impulse response characterization

    9. Case 1: z1=z2=F

    10. Case 1: z1=z2=F

    11. Case 1: z1=z2=F

    12. Case 2:

    13. Circular Aperture

    15. Imaging Transformation

    16. Coherent Transfer Function

    17. Sketch of the Coherent Transfer Function

    18. Why do we measure the field in radar but the intensity in optics?

    19. Coherence Functions of the Field

    20. Space-time structure of coherence functions

    21. Cross Spectral Density

    22. Power Spectra

    23. Spatially Incoherent Fields

    24. Imaging Incoherent Fields

    25. Incoherent Impulse Response

    26. Circular Aperture

    27. Optical Transfer Function

    28. Interesting Mathematical Issues How would/could one change the pupil function to optimize for computational imaging?

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