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Researcher

Peter Schelkens

  • Research interest:
    • Fundamental research: source/channel modeling and coding, information theory, signal representations (Fourier theory, wavelet theory, curvelets, contourlets, etc.), quantization (successive approximation quantization, multiple description quantizers, L-infinite strategies, etc.), convex optimization problems, data hiding, digital signal processing, multidimensional signal processing, holography
    • Strategic research: image, video and multi-dimensional signal representation (JPEG, MPEG, wavelet-based coding schemes), (multi)dimensional signal processing and communication, error-resilient coding (distributed video coding, multiple description coding, joint source-channel coding, etc.), computer architectures (memory optimization, GPGPU/GPU/SSE processing, high performance computing, exascale computing), objective and subjective quality metrics and assessment procedures, data forensics, watermarking, content authentication.
    • Applied research domains: medical imaging, eHealth, bio-informatics, HD/3D media production and broadcasting, cultural heritage, media archiving
  • Keywords:Electronics and electrical engineering
  • Disciplines:Image and language processing, Data visualisation and imaging , Biomedical image processing, Analogue and digital signal processing, Computer architecture and organisation, Memory structures, Machine learning and decision making, Computer system architecture, Computer graphics, Image processing, Human-computer interaction, Virtual reality and related simulation, Information and communication, circuits, Photonics, optoelectronics and optical communications
  • Users of research expertise:
    • Fundamental research: source/channel modeling and coding, information theory, signal representations (Fourier theory, wavelet theory, curvelets, contourlets, etc.), quantization (successive approximation quantization, multiple description quantizers, L-infinite strategies, etc.), convex optimization problems, data hiding, digital signal processing, multidimensional signal processing, holography
    • Strategic research: image, video and multi-dimensional signal representation (JPEG, MPEG, wavelet-based coding schemes), (multi)dimensional signal processing and communication, error-resilient coding (distributed video coding, multiple description coding, joint source-channel coding, etc.), computer architectures (memory optimization, GPGPU/GPU/SSE processing, high performance computing, exascale computing), objective and subjective quality metrics and assessment procedures, data forensics, watermarking, content authentication.
    • Applied research domains: medical imaging, eHealth, bio-informatics, HD/3D media production and broadcasting, cultural heritage, media archiving