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Learning Texture Transformer Network for Light Field Super-Resolution
Hand-held light field cameras suffer from low spatial resolution due to the inherent spatio-angular tradeoff.
Light field super resolution through controlled micro-shifts of light field sensor
One drawback of the micro-lens array based light field cameras is low spatial resolution due to the fact that a single sensor is shared to capture both spatial and angular information.
Light Field Stitching for Extended Synthetic Aperture
By merging multiple light fields captured by an MLA based camera, we obtain larger synthetic aperture, which results in improvements in light field capabilities, such as increased depth estimation range/accuracy and wider perspective shift range.
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