Light field superresolution

Tom E. Bishop, Sara Zanetti, Paolo Favaro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

164 Citations (Scopus)

Abstract

Light field cameras have been recently shown to be very effective in applications such as digital refocusing and 3D reconstruction. In a single snapshot these cameras provide a sample of the light field of a scene by trading off spatial resolution with angular resolution. Current methods produce images at a resolution that is much lower than that of traditional imaging devices. However, by explicitly modeling the image formation process and incorporating priors such as Lambertianity and texture statistics, these types of images can be reconstructed at a higher resolution. We formulate this method in a variational Bayesian framework and perform the reconstruction of both the surface of the scene and the (superresolved) light field. The method is demonstrated on both synthetic and real images captured with our light-field camera prototype. © 2009 IEEE.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Computational Photography, ICCP 09
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Computational Photography - San Francisco, CA, United States
Duration: 16 Apr 201017 Apr 2010

Conference

Conference2009 IEEE International Conference on Computational Photography
Abbreviated titleICCP 09
Country/TerritoryUnited States
CitySan Francisco, CA
Period16/04/1017/04/10

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