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Professor Nick Kingsbury

Professor Nick Kingsbury

Head of Signal Processing & Communications Research Group

Professor of Signal Processing

Director of Studies, Trinity College

Image enhancement

Object recognition

Image and video understanding

Road traffic analysis

Road congestion prediction

Sparsity-based regularisation of inverse problems

Department of Engineering
Trumpington Street

Cambridge , Cambridgeshire CB2 1PZ
Office Phone: 01223 338514

Biography:

Nick Kingsbury received the honours degree in 1970 and the Ph.D. degree in 1974, both in electrical engineering, from the University of Cambridge. He is a Fellow of the IEEE.

From 1973 to 1983 he was a Design Engineer and subsequently a Group Leader with Marconi Space and Defence Systems, Portsmouth, England, specializing in digital signal processing and coding  theory. Since 1983 he has been a Lecturer in Communications Systems and Image Processing at the University of Cambridge and a Fellow of Trinity College, Cambridge. He was appointed to Professor of Signal Processing in 2007 and is head of the Signal Processing and Communications Research Group.

Departments and Institutes

Department of Engineering:

Research Interests

Nick Kingsbury's current research interests include image analysis and enhancement techniques, object recognition, motion analysis and registration methods. He has developed the dual-tree complex wavelet transform and is especially interested in the application of wavelet frames to the analysis of images and 3-D datasets.  Recent work has concentrated on the use of sparsity in the complex wavelet domain for non-linear regularization of inverse filtering processes, and the use of efficient variational-Bayes iterative solution methods that produce rapidly converging order-N solutions, suitable for use with large datasets.

Keywords

Algorithms ; Bayesian methods ; Image processing ; Adaptive Learning ; Machine Learning

Key Publications

See personal website, http://sigproc.eng.cam.ac.uk/Main/NGK

Other Publications

See personal website http://sigproc.eng.cam.ac.uk/Main/NGK