Primary supervisor -Prof Graham Finlayson
Many algorithms for solving problems in computer vision take an ML approach including using generative AI. As an example, in scenes affected by haze there are many algorithms for seeing through the haze (obviously, very useful in domains such as automated driving). However, the outputs generated by the ML solutions are not realistic [1]: they are different from how the scene actually looked in non-hazy conditions.
In this project we are interested in developing algorithms for solving computer vision problems where the outputs of our algorithms are realistic. Topics of interest include relighting images to discount strong directional light [2] and processing underwater footage to account for signal degradation due to the light-scattering due to the water [3]. The project will involve using/adapting AI algorithms to enforce realism but will also deploy classical processing methods. We will assess the plausibility of our algorithm’s outputs objectively and subjectively.
The PhD student will work as part of the Colour & Imaging Lab (C&IL) currently comprising 10 PhDs+postdocs. This project is in collaboration with the Computer Vision Center, Universite Autonoma Barcelona and the PhD student will have an opportunity to visit there for a period of 3 months. The C&IL has strong links with industry - as partners in projects, hosts for our interns and as job destinations for our graduates – including, Apple, ARM, Google, Hewlett Packard and Meta.
The School of Computing Sciences provides a vibrant research environment for conducting Computing and allied research and training. We collaborate with multi-national companies, research institutes in theNorwich Research Park , as well as other universities and industries in the UK and overseas. We are also members of the Turing University Network, a group of 65 UK universities working together to advance world-class research and build skills for the future.
Entry requirements
The standard minimum entry requirement is 2:1 or a Masters degree qualification in computer science, mathematics, physics, psychology (psychophysics) and allied numerate disciplines.
Mode of study
Full-time
Start date
1 October 2026
Additional Funding Information
This PhD studentship is funded by the School of Computing Sciences at the University of East Anglia. Funding comprises Home tuition fees, an annual tax-free maintenance stipend (2026/27 rate £20,408) for a maximum of 3 years, and £2,000 per annum to support research training activities.
Applications are welcome from both UK and international candidates. Please note that funding covers tuition fees at the UK Home rate only.International applicants who are successful will be required to meet the difference between the Home and Intentional tuition fee rates. UEA’s international postgraduate research tuition fees for 2026/27 can be found here.
:quality(80))
:quality(80)){kind=icon}
:quality(80))
