Directional Super-Resolution by Means of Coded Sampling and Guided Upsampling

D.C. Schedl, C. Birklbauer, Oliver Bimber

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

11 Citations (Scopus)

Abstract

We present a simple guided super-resolution technique for increasing directional resolution without reliance on depth estimation or image correspondences. Rather, it searches for best- matching multidimensional (4D or 3D) patches within the entire captured data set to compose new directional images that are consistent in both the spatial and the directional domains. We describe algorithms for guided upsampling, iterative guided upsampling, and sampling code estimation. Our experimental results reveal that the outcomes of existing light-field camera arrays and light-stage systems can be improved without additional hardware requirements or recording effort simply by realignment of cameras or light sources to change their sampling patterns.

Original languageEnglish (American)
Title of host publication2015 IEEE International Conference on Computational Photography, ICCP 2015 - Proceedings
ISBN (Electronic)9781479986675
DOIs
Publication statusPublished - 27 Jul 2015
Externally publishedYes

Publication series

Name2015 IEEE International Conference on Computational Photography, ICCP 2015 - Proceedings

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