A funded PhD studentship is
available at the Department of Computer Science and Technology,
beginning in either October 2019 or January 2020. This doctoral
studentship is for both UK/EU and overseas applicants interested in
working on a PhD thesis in the area of machine learning for
computational photography. The application must be submitted by 30 June
2019.
The
studentship will involve work on improving the visual quality of video
captured with digital sensors. Such video may be affected by noise,
extreme illumination conditions (high dynamic range) and sensor
limitations. The aim is to develop algorithms that combine both machine
learning and computational photography methods to recover video of
higher visual quality than the input. This could involve, for example,
upscaling the content from standard- to high-dynamic range or reducing
the visibility of noise in dark areas, while ensuring that the
reconstructed video is temporarily stable.
Further details:
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