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Home > Learning > Departments > School of Food and Advanced Technology > SF&AT Centre for Research in Image and Signal Processing

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Centre for Research in Image and Signal Processing

Image and signal processing is a broad field that encompasses the acquisition of data from the world around us, manipulating or processing that data into a useful form, the extraction of information from that data, and the interpretation of that information. The breadth and power of both image processing and signal processing are what makes them key enabling technologies of the information age. The interests of the Image and Signal Processing Research Group cover the full range of image processing and signal processing techniques. In image processing we are active in developing techniques and applying them to image analysis, computer vision, rotobics, and machine vision. We are active in developing theoretical aspects of signal processing as well as applying these techniques to a broad range of practical problems. Many of the applications involve a complete systems engineering approach in which to achieve the desired outcome, all elements from data acquisition, processing, information extraction, and interpretation must be carefully integrated.

New

Our CRISP Symposium will be held on Friday 22 November, 2019.

This year our theme will be: "Colour and Visual Appearance". The Symposium will run fom 9:30 am in the Riddet Atrium (Meeting Rooms). We have Prof. Philipp Urban from Fraunhofer IGD, Germany, presenting the keynote. For more information and the programme, please see the flyer.

Visit by Prof. Sven Simon

Prof. Sven Simon from University of Stuttgart will be visiting on July 29, 2019, and will give a presentation on
"Industrial 3D Computed Tomography with Applications in Electrical Engineering"
Abstract: After a brief introduction to the research group, and a quick overview of computed tomography, this presentation will look deeper into the basic principles of industrial computed tomography like the image formation process and the increasing resolutions of the 3D data volume sets. Due the high resolutions, the challenge of current industrial CT are the huge data sets ranging from 32 GBytes to 256 GBytes per CT scan. First research results reduce the huge amount of data by two orders of magnitude in the considered cases. In the second part of the talk applications of industrial computed tomography especially in the field of electrical engineering are discussed.

We have started a weekly presentation / seminar series

special issue Journal of Imaging, Special issue on Image Processing using FPGAs

Applications of particular interest

  • FPGA realisation of image and signal processing algorithms
  • Camera calibration
  • Super-resolution from multiple images
  • Image analysis applications
  • Hyper-spectral imaging
  • Integrated machine vision systems
  • Image coding and quality
  • Perception
  • Biologically inspired image processing
  • Spectral warping
  • Real time instrumentation and control

 

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Last updated on Monday, 18 November 2019

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