View Proposal

Proposer
Hadj Batatia
Title
Self-supervised deep learning for image reconstruction
Goal
Develop self-supervised learning models to reconstruct high dynamic range images from low dynamic range.
Description
The developed self-supervised deep learning models can be applied to the reconstruction if HDR images from compressed sensing.
Resources
Background
Url
Difficulty Level
High
Ethical Approval
None
Number Of Students
1
Supervisor
Hadj Batatia
Keywords
self-supervised learning, inverse problems, high dynamic range imaging, compressed sensing
Degrees
Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Data Science
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