Abstract
Recently we have shown that light-field photography images can be interpreted as limited-angle cone-beam tomography acquisitions. Here, we use this property to develop a direct-space tomographic refocusing formulation that allows one to refocus both unfocused and focused light-field images. We express the reconstruction as a convex optimization problem, thus enabling the use of various regularization terms to help suppress artifacts, and a wide class of existing advanced tomographic algorithms. This formulation also supports super-resolved reconstructions and the correction of the optical system’s limited frequency response (point spread function). We validate this method with numerical and real-world examples.
Original language | English |
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Pages (from-to) | 7834-7856 |
Number of pages | 23 |
Journal | Optics Express |
Volume | 27 |
Issue number | 6 |
DOIs | |
Publication status | Published - 1 Jun 2019 |