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

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Presentation transcript:

Tutorial on Computational Optical Imaging University of Minnesota September David J. Brady Duke University

Lectures 1.Computational Imaging 2.Geometric Optics and Tomography 3.Fresnel Diffraction 4.Holography 5.Lenses, Imaging and MTF 6.Wavefront Coding 7.Interferometry and the van Cittert Zernike Theorem 8.Optical coherence tomography and modal analysis 9.Spectra, coherence and polarization 10.Computational spectroscopy and imaging

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

Focal Imaging

Impulse response characterization

Case 1: z1=z2=F

Case 2:

Circular Aperture

Imaging Transformation

Coherent Transfer Function

Sketch of the Coherent Transfer Function

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

Coherence Functions of the Field

Space-time structure of coherence functions

Cross Spectral Density

Power Spectra

Spatially Incoherent Fields

Imaging Incoherent Fields

Incoherent Impulse Response

Circular Aperture

Optical Transfer Function

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