Abstract
The coupling between aperture size and the depth of field (DOF) in traditional imaging remains one of the fundamental limits on photographic freedom. The emergence of the plenoptic camera imaging solves the issues. Based on the focus plenoptic camera implemented by Georgiev, we propose an all-focused image rendering algorithm which depends on the DOF. Using the raw image captured by the prototype of the camera, we successfully reconstruct an all-focused image of the scene and calculate a higher resolution depth map. Finally, we conclude that a large depth of field image can still be achieved even with a large aperture.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gortler, S., et al.: The Lumigraph. In: Proc. of ACM SIGGRAPH, pp. 43–54 (1996)
Lippmann, G.L.: Photographie Integrale. Comptes Academie des Sciences 146, 446–551 (1908)
Ives, H.E.: Parallax Panoramagrams made with a large diameter lens. Opt. Soc. Amer. 20, 332–342 (1930)
Ives, H.E.: Optical properties of a Lippmann lenticulated sheet. J. Opt. Soc. Amer. 21, 171–176
Adelson, T., Wang: Single lens stereo with a plenoptic camera. IEEE Trans. Pattern Anal. Machine Intell. 14, 99–106 (1992)
Ng, L.M., et al.: Light field photography with a hand-held plenoptic camera. In: CTSR02. Stanford University Computer Science, California (2005)
Lumsdaine, A., Georgiev, T.: Full Resolution Light-field Rendering. Teach.rep, Adobe Systems (January 2008)
Lumsdaine, A., Georgiev, T.: The focused plenoptic camera. In: Proc. Int. Conf. on Computational Photography, Stanford University, pp. 1–11 (2009)
Ng, R.: Digital Light Field Photography. Stanford University, California (2006)
Georgiev, T., Lumsdaine, A.: Depth of Field in Plenoptic Cameras. In: EUROGRAPHICS (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rumin, Z., Yu, R., Dijun, L., Youguang, Z. (2014). All-Focused Light Field Image Rendering. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-662-45643-9_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45642-2
Online ISBN: 978-3-662-45643-9
eBook Packages: Computer ScienceComputer Science (R0)