Zugangscode zur Vorlesung kann nur bei Dr. Milde angefragt werden. The entry code for the BBB session can be requested from Dr. Milde.
Lecture on Computational Imaging: Basics, Applications and Use in Optical Industry
(Grundlagen und Anwendungen von Computational Imaging in der Optischen Industrie – WS2021/22, 2SWS) Modul: Optimierung I / II
Link: https://friedolin.uni-jena.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=190141&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung
Computational Imaging
is the process of indirectly forming images from measurements using algorithms that rely on a significant amount of computing. In contrast to traditional imaging, computational imaging systems involve a tight integration of the sensing system and the computation in order to form the images of interest. This integration allows for accessing information which was otherwise not available. Computational imaging systems also enable system designers to overcome some hardware limitations of optics and sensors (resolution, noise etc.) by addressing them in the computing domain.
Lecturer: Dr. Thomas Milde from Carl-Zeiss corp. Research & Technology - Expert on Computational Imaging (check LinkedIn)
Language: German/English (depends), Notes: provided after each lecture, Exam: oral video/presence exam 3LP
Outline: Components of Computational Imaging Systems (Basics of Photonics) 4 Lectures
Mathematical tools for computational imaging: 2D Fourier transform, Optimization (Fixed Point Methods, Steepest Decent, Convex Optimization, LS-Solutions, DLS), Orthogonal polynomials,… 2-3 Lectures
Computational Imaging Methods and Applications: Phase Retrieval, Light field imaging, Z-Stack methods, Fourier Ptychography, TV- Variation Methods, Angular Illumination Methods in Reflection, Projection Methods (Fringe Projection, Phase-Shift Deflectometry), Deconvolution, Single-Pixel Imaging,… System Engineering and Product generation in Industry 7/8 Lectures |