Lecture

Image Processing I: Fourier Transform and Optical Systems

Description

This lecture covers the basics of image processing, including orientation estimation, Fourier transform, and the importance of phase. It also discusses the characterization of linear shift-invariant (LSI) systems, 2D convolution theorem, transfer functions, modeling of optical systems, and optical transfer functions. The lecture emphasizes the Fourier transform's role in analyzing spatial frequency content and the significance of the Fourier phase in image perception.

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