Advanced light-field refocusing through tomographic modeling of the photographed scene

Nicola Viganò (Corresponding author), Pablo Martínez Gil, Charlotte Herzog, Ombeline de la Rochefoucauld, Robert van Liere, Kees Joost Batenburg

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
53 Downloads (Pure)


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 languageEnglish
Pages (from-to)7834-7856
Number of pages23
JournalOptics Express
Issue number6
Publication statusPublished - 1 Jun 2019

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