Image Processing - Einzelansicht

Bitte informieren Sie sich regelmäßig auf der Seite des Lehrstuhls Digitale Bildverarbeitung (https://www.inf-cv.uni-jena.de) über die aktuellen Planungen für das Sommersemester. Aktuell werden die meisten Lehrveranstaltungen auch in der Corona-Krise unter Berücksichtigung der Vorschriften und Maßgaben stattfinden. Mehr Informationen erhalten Sie unter https://www.inf-cv.uni-jena.de/Lectures/Lectures+in+Corona+Times.html

Please inform yourself regularly about the teaching program of the Chair for Computer Vision during the Corona crisis under https://www.inf-cv.uni-jena.de. At the moment most of the lectures will take place. For more information please visit  https://www.inf-cv.uni-jena.de/Lectures/Lectures+in+Corona+Times.html. There, you will receive updates regularly. 

R.C. Gonzalez and R.E. Woods. Digital Image Processing. Prentice Hall, Upper Saddle River, New Jersey, 2002.

The course covers the fundamentals of digital image processing. Based on this the students should be able to identify standard problems in image processing to develop individual solutions for given problems and to implement image processing algorithms for use in the experimental fields of modern optics.

The main areas covered by the lecture are:

• Digital image fundamentals (Image Sensing and Acquisition, Image Sampling and Quantization)
• Image Enhancement in the Spatial Domain (Basic Gray Level Transformations, Histogram Processing, Spatial Filtering)
• Image Enhancement in the Frequency Domain (Introduction to the Fourier-Transform and the Frequency Domain, Frequency Domain Filtering, Homomorphic Filtering)
• Image Restoration (Noise Models, Inverse Filtering, Geometric Distortion)
• Color Image Processing Image Segmentation (Detection of Discontinuities, Edge Linking and Boundary Detection, Thresholding, Region-Based Segmentation)
• Representation and Description Applications

This lecture will be given for master students of the Abbe School of Photonics.