In the Summer Semester 2018 we will present some aspects of the science of computational imaging. Below you can find a list with all the topics. Everybody can add some information/supplement material

# Date Presenter Topic
1 11.4.2018
2 18.4.2018 Benedict Diederich Introduction to Tensorflow, Modelling physical problems in Tensorflow (inverse Problems) using auto-differentiation
3 25.4.2018 Sönke Ziemer Deconvolution in Tensorflow
4 2.5.2018 Rainer Heintzmann Generic Inverse Problems (genericDeconv-Toolbox), CudaMAT and DIP_Image
5 9.5.2018 Patrick Then, Christian Karras Python: Controlling Hardware (Micromanager)
6 16.5.2018 no seminar!
7 23.5.2018 Benedict Diederich Cellphone Imaging – RAW and compressed images, Tensorprocessing Units from Nvidia? NPU from Cellphones?
8 30.5.2018 Philipp Praetorius, Sönke Ziemer Basics in Image Classification and Segmentation
9 6.6.2018 Fengjao Ma, Rainer Heintzmann Introduction to JULIA, Toy Examples in JULIA
10 13.6.2018  Andreas Kleiber Introduction to KNIME
11 20.6.2018 Rainer Heintzmann Radon Transformation, Models for Generation PSFs in a microscope
12 27.6.2018 Rainer Heintzmann, Markus Schiffler

Basics in CUDA-programming

 

13 4.7.2018 Fengjao Ma Deconvolution in JULIA
14 11.7.2018 Thomas Henkel Inline Image Analsysis and Camera capturing with Java/OpenCV

 

 

2 – 18.4.2018

Benedict Diederich  – Introduction to Tensorflow, Modelling physical problems in Tensorflow (inverse Problems) using auto-differentiation

The example for least squares in Tensorflow can be found here:

The slides for the first tensorflow introduction tutorial can be found here:

 

3 – 25.4.2018

Sönke Ziemer: Deconvolution in Tensorflow

5 – 9.5.2018

Patrick Then: (Micromanager)

Christian Karras: Python: Controlling Hardware

Xavier Uruwukundo: Prototyping and Communicating with I2C

 

6 – 16.5.2018 – Basics in Cuda Programming

Rainer Heintzmann & Markus Schiffler

Presentations_ImageProcessingSeminar_20180516

Skip to toolbar