Abstract
This paper presents a practical framework for various light field editing algorithms, such as segmentation, sparse edit propagation, and inpainting. A novel framework is introduced with its user interface to perform the light field editing algorithms. Unlike single-image algorithms, the coherence between light field subaperture images is fully considered. Instead of processing all light field subaperture images independently, the proposed framework performs editing in the cluster image domain. The edit result in the cluster image is propagated back to each light field subaperture image using 2D-to-4D light field edit propagation. Experimental results on test images captured by a Lytro off-the-shelf light field camera confirm that the proposed method provides robust and consistent results of edited light field subaperture images.
Similar content being viewed by others
References
An X, Pellacini F (2008) Appprop: all-pairs appearance-space edit propagation. ACM Trans Graph 27(3):40:1–40:9
Ao H, Zhang Y, Jarabo A, Masia B, Liu Y, Gutierrez D, Dai Q (2015) Light field editing based on reparameterization. In: Proceedings of the 16th pacific-rim conference on multimedia, pp 601–610
Bie X, Huang H, Wang W (2011) Real time edit propagation by efficient sampling. Comput Graphics Forum 30(7):2041–2048
Bok Y, Jeon HG, Kweon IS (2014) Geometric calibration of micro-lens-based light-field cameras using line features. In: Proceedings of the european conference on computer vision (ECCV), pp 47–61
Chen C, Lin H, Yu Z, Kang SB, Yu J (2014) Light field stereo matching using bilateral statistics of surface cameras. In: Proceedings of IEEE computer vision and pattern recognition, pp 1518–1525
Chen X, Zou D, Zhao Q, Tan P (2012) Manifold preserving edit propagation. ACM Trans Graph 31(6):132:1–132:7
Cho D, Kim S, Tai YW (2014) Consistent matting for light field images. In: Proceedings of the european conference on computer vision (ECCV), pp 90–104
Cho D, Lee M, Kim S, Tai YW (2013) Modeling the calibration pipeline of the lytro camera for high quality light-field image reconstruction. In: Proceedings of IEEE international conference on computer vision, pp 3280–3287
Criminisi A, Perez P, Toyama K (2004) Region filling and object removal by exemplar-based inpainting. IEEE Trans Image Process 13(9):1200–1212
Criminisi A, Sharp T, Rother C, P’erez P (2010) Geodesic image and video editing. ACM Trans Graph 29(5):134:1–134:15
Dansereau DG, Pizarro O, Williams SB (2013) Decoding, calibration and rectification for lenselet-based plenoptic cameras. In: Proceedings of IEEE computer vision and pattern recognition, pp 1027–1034
Gastal ESL, Oliveira MM (2011) Domain transform for edge-aware image and video processing. ACM Trans Graph 30(4):69:1–69:11
Gortler SJ, Grzeszczuk R, Szeliski R, Cohen MF (1996) The lumigraph. In: Proceedings of SIGGRAPH, pp 43–54
Jarabo A, Masia B, Bousseau A, Pellacini F, Gutierrez D (2014) How do people edit light fields?. ACM Trans Graph 33(4)
Jarabo A, Masia B, Gutierrez D (2011) Efficient propagation of light field edits. In: Proceedings of the fifth ibero-american symposium in computer graphics, pp 75–80
Lang M, Wang O, Aydin T, Smolic A, Gross M (2012) Practical temporal consistency for image-based graphics applications. ACM Trans Graph 31(4):34:1–34:8
Levin A, Lischinski D, Weiss Y (2004) Colorization using optimization. ACM Trans Graph 23(3):689–694
Levin A, Lischinski D, Weiss Y (2008) A closed-form solution to natural image matting. IEEE Trans Pattern Anal Mach Intell 30(2):228–242
Levoy M, Hanrahan P (1996) Light field rendering. In: Proceedings of SIGGRAPH, pp 31–42
Li N, Ye J, Ji Y, Ling H, Yu J (2014) Saliency detection on light field. In: Proceedings of IEEE computer vision and pattern recognition, pp 2806–2813
Li Y, Ju T, Hu SM (2010) Instant propagation of sparse edits on images and videos. Comput Graphics Forum 29(7):2049–2054
Lischinski D, Farbman Z, Uyttendaele M, Szeliski R (2006) Interactive local adjusment of tonal values. ACM Trans Graph 25(3):646–653
Lytro (2014) The Lytro camera. https://www.lytro.com
Ng R, Levoy M, Bredif M, Duval G, Horowitz M, Hanrahan P (2005) Light field photography with a hand-held plenoptic camera. In: Stanford tech report CTSR 2005-02
Raytrix (2013) 3D light field camera technology. www.raytrix.de
Tang M, Gorelick L, Veksler O, Boykov Y (2013) Grabcut in one cut. In: Proceedings of IEEE international conference on computer vision, pp 1769–1776
Tao M, Hadap S, Malik J, Ramamoorthi R (2013) Depth from combining defocus and correspondence using light-field cameras. In: Proceedings of IEEE international conference on computer vision, pp 673–680
Wilburn B, Joshi N, Vaish V, Talvala E, Artunez E, Barth A, Adams A, Horowitz M, Levoy M (2005) High perofrmance imaging using large camera arrays. ACM Trans Graph 24(3):765–779
Xu K, Li Y, Ju T, Hu SM, Liu TQ (2009) Efficient affinity-based edit propagation using K-D tree. ACM Trans Graph 28(5):118:1–118:6
Acknowledgments
This work was supported by Inha University Research Grant.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Williem, Shon, K.W. & Park, I.K. Spatio-angular consistent editing framework for 4D light field images. Multimed Tools Appl 75, 16615–16631 (2016). https://doi.org/10.1007/s11042-016-3754-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-016-3754-y