PhD Studentship: Content-Based Preferred Image Processing

University of East Anglia - School of Computing Sciences

Location: Norwich / Cambridge

Start Date: October 2018

No. of positions available: 1

Supervisor: Primary supervisor: Prof Graham Finlayson. Secondary supervisor: Dr Michal Mackiewicz

Project description: The Image recorded at the sensor level looks nothing like the final photographs we see (and share). There are a number of processing steps – including white balancing [i], colour correction [ii] and tone mapping [iii]  - which converts a raw image to the final output (for example jpeg). However, although people expect to see certain content in images to look a certain way – e.g. faces should be visible, snow should be white – this preference is not always delivered by current architectures which process all images in the same way (in essence process images in a content independent way).

This PhD project will consider how content can be determined in images (e.g. using deep learning [iv] architectures) and how processing pipelines can be adapted to make use of this content, including from an image fusion perspective [v]. There will also be an emphasis on developing approaches that can feasibly be implemented in embedded architectures (such as smart phones).

The project runs in collaboration with Spectral Edge Ltd, a Cambridge based company specialising in image processing. The PhD student will collaborate with researchers in Spectral Edge and spend some time in the Cambridge office (it is expected there will be internship opportunities).

Person specification: Acceptable first degree: Computer Science, Physics, Mathematics, Engineering or other numerate discipline. Standard minimum entry requirement is 2:1.

Funding notes: This PhD studentship is jointly funded for three years by Faculty of Science and Spectral Edge. Funding comprises home/EU fees, an annual stipend of £14,296 and £1000 per annum to support research training. Overseas applicants may apply but are required to fund the difference between home/EU and overseas tuition fees (in 2017/18 the difference is £10,605 for the School of Computing Sciences but fees are subject to an annual increase).

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