Compressive Light Field Reconstruction using Deep Learning
abstract: Light field imaging is limited in its computational processing demands of high sampling for both spatial and angular dimensions. Single-shot light field cameras sacrifice spatial resolution to sample angular viewpoints, typically by multiplexing incoming rays onto a 2D sensor array. Whi...
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| Format: | Dissertation |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/2286/R.I.45525 |