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School of Electrical and Electronic Engineering

Digital Image and Signal Processing (DISP) MSc video

Group overview

SISP research activity encompasses instrumentation, transducer and sensor design, signal preconditioning, image and information processing and interpretation in both machine and biological systems.

Signals are drawn from magnetic, electrical, acoustic, optical, photonic, biomedical, and mechanical sources. Data-reconstruction techniques and distributed sensor arrays are of particular interest.

Application areas centre on smart agriculture e-Agri, medical and industrial (tomographic) imaging, real-time audio-signal enhancement, nondestructive materials testing, neural-signal solutions, and human and machine vision.

Sensing, Imaging & Signal Processing (SISP) Group

The group has a large skills-base with personnel trained in sensor design and fabrication, analogue and digital systems design, artificial intelligence and software coding, modern statistical methods, computational vision, and psychophysics. SISP has many collaborations with other academic and industrial groups, national and international, and has a strong track record in commercializing its research.

SISP has a philosophy of pursuing collaborative and cross-disciplinary research. This allows it to exploit its expertise in sensing, imaging and signal processing to tackle a range of applications requiring a multidisciplinary approach. Typical applications include:

  • Recovery of video images acquired under adverse conditions
  • Neural network techniques for image and information processing
  • Characterisation of electron and photon beams in high-energy accelerators
  • X-ray diffraction data of dynamic structural changes in biological systems
  • Cross-sectional material distributions from tomography
  • Inductive scanning for imaging and condition assessment of steel reinforced concrete
  • Autonomous sensors for fatigue monitoring and structural integrity
  • Audio-bandwidth signal enhancement and feature extraction
  • Biomedical signal processing for ECG, EMG, MMG and cardiovascular function
  • Estimation of information-theoretic limits of surface-colour coding
  • Nonparametric estimation of biological transducer functions
  • Psychophysical measurement of visual coding of surface colour in natural scenes
  • Electromagnetic scanners for industrial, security and biomedical applications
Tractor

e-Agri

The School has launched e-Agri ("smart agriculture") as a new research initiative. The e-Agri research cluster will integrate advanced research in ICT, sensing, electronics, control and power systems in such a manner as to enable a new future for global agriculture and food security.

Studentships and Scholarships

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