Personal profile
Research interests
David Bull holds the Chair in Signal Processing at the University of Bristol and is Director of the £46m MyWorld Strength in Places Programme. He is currently the Director of Bristol Vision Institute, a cross-disciplinary organisation, hosting some 160 researchers, dedicated to all aspects of vision science and engineering. He is also Director of the EPSRC Centre for Doctoral Training in Communications and University Lead for Creative Technologies.
David works in the fields of visual communications and computer vision. He has won numerous awards for this work and has published over 500 papers and patents, several of which have been licensed and exploited commercially. His current activities are focused on the problems of i) optimised video compression for internet streaming, broadcast and surveillance applications and ii) optimised workflows for media production including denoising and enhancement of low-light video. He is widely supported in these areas by international industry, governments and charities and has generated over £40m of research income in the past 10 years. He has delivered numerous invited/keynote lectures and tutorials and his new book, 'Intelligent Image and Video Compression is now in print.
Research Groups and Themes
- Visual Information Laboratory
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Collaborations and top research areas from the last five years
Research output
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Advances in artificial intelligence: a review for the creative industries
Anantrasirichai, N., Zhang, F. & Bull, D., 24 Jan 2026, (E-pub ahead of print) In: Artificial Intelligence Review. 59, 3, 67 p., 89.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open Access -
Automatic Object Detection in Atmospheric Turbulence-Affected Environments
Hill, P., Achim, A., Bull, D. & Anantrasirichai, N., 29 May 2025, Automatic Target Recognition XXXV. Chen, K., Hammoud, R. I. & Overman, T. L. (eds.). SPIE, Vol. 13463. 3 p. 134630F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13463).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
Nawala, J. T., Jiang, Y., Zhang, F., Zhu, X., Sole, J. & Bull, D. R., 27 Jan 2025, 2024 IEEE International Conference on Visual Communications and Image Processing. Institute of Electrical and Electronics Engineers (IEEE), 5 p. (IEEE Visual Communications and Image Processing (VCIP)).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile4 Citations (Scopus)21 Downloads (Pure)
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EPSRC CDT Comms EP/I028153/1
Bull, D. R. (Principal Investigator) & Beach, M. A. (Principal Investigator)
1/04/11 → …
Project: Research
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Netflix Video Research partnership 2019-21
Katsenou, A. (Co-Principal Investigator), Bull, D. R. (Principal Investigator) & Zhang, F. (Co-Principal Investigator)
Project: Research
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Netflix Video Research partnership 2018-2019.
Katsenou, A. (Co-Principal Investigator), Bull, D. R. (Principal Investigator), Zhang, F. (Co-Principal Investigator) & Fernandez Afonso, M. (Researcher)
Project: Research
Datasets
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BVI-Lowlight: Fully registered datasets for low-light image and video enhancement
Anantrasirichai, P. (Creator), Malyugina, A. (Creator), Lin, R. (Creator) & Bull, D. R. (Creator), IEEE DataPort, 2023
DOI: 10.21227/mzny-8c77, https://ieee-dataport.org/open-access/bvi-lowlight-fully-registered-datasets-low-light-image-and-video-enhancement
Dataset
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BVI-LOWLIGHT
Malyugina, A. M. (Creator), Anantrasirichai, P. (Creator) & Bull, D. R. (Creator), IEEE DataPort, 8 Apr 2022
DOI: 10.21227/zp7a-0683, https://ieee-dataport.org/documents/bvi-lowlight and one more link, https://github.com/malalejandra/bvi-lowlight (show fewer)
Dataset
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BVI-CLEAR
Anantrasirichai, N. (Creator) & Bull, D. (Creator), University of Bristol, 18 Mar 2022
DOI: 10.5523/bris.1yh1e51t7tg2g2q9cwv96sdfc2, http://data.bris.ac.uk/data/dataset/1yh1e51t7tg2g2q9cwv96sdfc2
Dataset