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Descripción
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| 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. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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Optics Express |
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ISSN
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1094-4087 |
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Factor de impacto JCR
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3,669 |
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Información de impacto
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Volumen
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27 |
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DOI
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Número de revista
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6 |
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Desde la página
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7834 |
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Ranking
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