“WYSIWYG computational photography via viewfinder editing” – ACM SIGGRAPH HISTORY ARCHIVES

“WYSIWYG computational photography via viewfinder editing”

  • 2013 SA Technical Papers_Baek_WYSIWYG Computational Photography via Viewfinder Editing

Conference:


Type(s):


Title:

    WYSIWYG computational photography via viewfinder editing

Session/Category Title:   Image & Video Editing


Presenter(s)/Author(s):



Abstract:


    Digital cameras with electronic viewfinders provide a relatively faithful depiction of the final image, providing a WYSIWYG experience. If, however, the image is created from a burst of differently captured images, or non-linear interactive edits significantly alter the final outcome, then the photographer cannot directly see the results, but instead must imagine the post-processing effects. This paper explores the notion of viewfinder editing, which makes the viewfinder more accurately reflect the final image the user intends to create. We allow the user to alter the local or global appearance (tone, color, saturation, or focus) via stroke-based input, and propagate the edits spatiotemporally. The system then delivers a real-time visualization of these modifications to the user, and drives the camera control routines to select better capture parameters.

References:


    1. Adams, A. B., Baek, J., and Davis, A. 2010. Fast high-dimensional filtering using the permutohedral lattice. Computer Graphics Forum 29, 2.
    2. Adams, A. B., Talvala, E., Park, S. H., Jacobs, D. E., et al. 2010. The Frankencamera: An experimental platform for computational photography. ACM Trans. Graph. 29, 4.
    3. Agarwala, A., Dontcheva, M., Agrawala, M., Drucker, S., Colburn, A., Curless, B., Salesin, D., and Cohen, M. 2004. Interactive digital photomontage. ACM Trans. Graph. 23, 3.
    4. An, X., and Pellacini, F. 2008. Appprop: all-pairs appearance-space edit propagation. ACM Trans. Graph. 27, 3.
    5. Bie, X., Huang, H., and Wang, W. 2011. Real time edit propagation by efficient sampling. Comp. Graphics Forum 30, 7.
    6. Chen, X., Zou, D., Zhao, Q., and Tan, P. 2012. Manifold preserving edit propagation. ACM Trans. Graph. 31, 6.
    7. Farbman, Z., Fattal, R., Lischinski, D., and Szeliski, R. 2008. Edge-preserving decompositions for multi-scale tone and detail manipulation. ACM Trans. Graph. 27, 3.
    8. Farbman, Z., Fattal, R., and Lischinski, D. 2010. Diffusion maps for edge-aware image editing. ACM Trans. Graph. 29, 6.
    9. Fattal, R. 2009. Edge-avoiding wavelets and their applications. ACM Trans. Graph. 28, 3.
    10. Gallo, O., Tico, M., Manduchi, R., Gelfand, N., and Pulli, K. 2012. Metering for exposure stacks. Computer Graphics Forum 31, 2.
    11. Gastal, E. S. L., and Oliveira, M. M. 2011. Domain transform for edge-aware image and video processing. ACM Trans. Graph. 30, 4.
    12. Gastal, E. S. L., and Oliveira, M. M. 2012. Adaptive manifolds for real-time high-dimensional filtering. ACM Trans. Graph. 31, 4.
    13. Granados, M., Ajdin, B., Wand, M., Theobalt, C., Seidel, H.-P., and Lensch, H. P. A. 2010. Optimal HDR reconstruction with linear digital cameras. IEEE Computer Vision and Pattern Recognition, 215–222.
    14. Hasinoff, S. W., and Kutulakos, K. N. 2008. Light-efficient photography. In European Conf. on Computer Vision, Springer.
    15. Hasinoff, S. W., Durand, F., and Freeman, W. T. 2010. Noise-optimal capture for high dynamic range photography. In Computer Vision and Pattern Recognition, IEEE.
    16. Jacobs, D. E., Baek, J., and Levoy, M. 2012. Focal stack compositing for depth of field control. Tech. Rep. 1, Stanford Computer Graphics Laboratory, 10.
    17. Levin, A., Lischinski, D., and Weiss, Y. 2004. Colorization using optimization. ACM Trans. Graph. 23, 3.
    18. Li, Y., Adelson, E., and Agarwala, A. 2008. ScribbleBoost: Adding classification to edge-aware interpolation of local image and video adjustments. Computer Graphics Forum 27, 4.
    19. Li, Y., Ju, T., and Hu, S.-M. 2010. Instant propagation of sparse edits on images and videos. Computer Graphics Forum, 7.
    20. Liang, C. K., Chen, W. C., and Gelfand, N. 2010. Touchtone: Interactive local image adjustment using point-and-swipe. Computer Graphics Forum 29, 2.
    21. Lischinski, D., Farbman, Z., Uyttendaele, M., and Szeliski, R. 2006. Interactive local adjustment of tonal values. ACM Trans. Graph. 25, 3.
    22. Liu, L., Chen, R., Wolf, L., and Cohen-Or, D. 2010. Optimizing photo composition. Computer Graphic Forum 29, 2.
    23. Mantiuk, R., Daly, S., and Kerofsky, L. 2008. Display adaptive tone mapping. ACM Trans. Graph. 27, 3.
    24. Nik Software, 2012. Snapseed | snap it. tweak it. love it. share it. http://www.snapseed.com. Accessed: 12/11/2012.
    25. Ragan-Kelley, J., Adams, A., Paris, S., Levoy, M., Amarasinghe, S., and Durand, F. 2012. Decoupling algorithms from schedules for easy optimization of image processing pipelines. ACM Trans. Graph. 31, 4.
    26. Reinhard, E., Stark, M., Shirley, P., and Ferwerda, J. 2002. Photographic tone reproduction for digital images. ACM Trans. Graph. 21, 3.
    27. Reinhard, E., Ward, G., Pattanaik, S., and Debevec, P. 2005. High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann.
    28. Robertson, M. A., Borman, S., and Stevenson, R. L. 1999. Dynamic range improvement through multiple exposures. In Int. Conf. on Image Processing, IEEE.
    29. Rubinstein, M., Shamir, A., and Avidan, S. 2008. Improved seam carving for video retargeting. ACM Trans. Graph. 27, 3.
    30. Subr, K., Paris, S., Soler, C., and Kautz, J. 2013. Accurate binary image selection from inaccurate user input. Computer Graphics Forum 32, 2.
    31. Vaquero, D., Gelfand, N., Tico, M., Pulli, K., and Turk, M. 2011. Generalized autofocus. In Workshop on Applications of Computer Vision, IEEE.
    32. Winnemöller, H., Olsen, S. C., and Gooch, B. 2006. Realtime video abstraction. ACM Trans. Graph. 25, 3.
    33. Xu, K., Li, Y., Ju, T., Hu, S.-M., and Liu, T.-Q. 2009. Efficient affinity-based edit propagation using k-d tree. ACM Trans. Graph. 28, 5.


ACM Digital Library Publication:



Overview Page:



Submit a story:

If you would like to submit a story about this presentation, please contact us: historyarchives@siggraph.org