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In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among the different methods used to capture a light field are the lenslet cameras, such as those developed by Lytro. While these cameras give a lot of freedom to the user, they also create light field views that suffer from a number of artefacts. As a result, it is common to ignore a significant subset of these views when doing high-level light field processing. We propose a pipeline to process light field views, first with an enhanced processing of RAW images to extract subaperture images, then a colour correction process using a recent colour transfer algorithm, and finally a denoising process using a state of the art light field denoising approach. We show that our method improves the light field quality on many levels, by reducing ghosting artefacts and noise, as well as retrieving more accurate and homogeneous colours across the sub-aperture images.

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One aspect of the EU funded project SAUCE is to explore the possibilities and challenges of integrating light field capturing and processing into media productions. A special light field camera was build by Saarland University [Herfet et al. 2018] and is first tested under production conditions in the test production "Unfolding" as part of the SAUCE project. Filmakademie Baden-Württemberg developed the contentual frame, executed the post-production and prepared a complete previsualization. Calibration and post-processing algorithms are developed by the Trinity College Dublin and the Brno University of Technology. This document describes challenges during building and shooting with the light field camera array, as well as its potential and challenges for the post-production.