Abstract
We show how the intrinsically performed JPEG compression of many digital still cameras leaves margin for deriving and applying image-adapted coded apertures that support retention of the most important frequencies after compression. These coded apertures, together with subsequently applied image processing, enable a higher light throughput than corresponding circular apertures, while preserving adjusted focus, depth of field, and bokeh. Higher light throughput leads to proportionally higher signal-to-noise ratios and reduced compression noise, or –alternatively– to lower shutter times. We explain how adaptive coded apertures can be computed quickly, how they can be applied in lenses by using binary spatial light modulators, and how a resulting coded bokeh can be transformed into a common radial one.
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.
References
Veeraraghavan, A., Raskar, R., Agrawal, A., Mohan, A., Tumblin, J.: Dappled Photography: Mask Enhanced Cameras for Heterodyned Light Fields and Coded Aperture Refocusing. ACM Trans. Graph (Siggraph) 26, 69 (2007)
Levin, A., Fergus, R., Durand, F., Freeman, W.T.: Image and Depth from a Conventional Camera with a Coded Aperture. ACM Trans. Graph (Siggraph) 26, 70 (2007)
Bando, Y., Chen, B.Y., Nishita, T.: Extracting Depth and Matte using a Color-Filtered Aperture. ACM Trans. Graph (Siggraph Asia) 27, 1–9 (2008)
Zhou, C., Nayar, S.K.: What are Good Apertures for Defocus Deblurring? In: IEEE International Conference on Computational Photography (2009)
Zhou, C., Lin, S., Nayar, S.K.: Coded Aperture Pairs for Depth from Defocus. In: IEEE International Conference on Computer Vision, ICCV (2009)
Liang, C.K., Lin, T.H., Wong, B.Y., Liu, C., Chen, H.: Programmable Aperture Photography: Multiplexed Light Field Acquisition. ACM Trans. Graph (Siggraph) 27, 55:1–55:10 (2008)
Nagahara, H., Zhou, C., Watanabe, T., Ishiguro, H., Nayar, S.K.: Programmable aperture camera using lcos. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. LNCS, vol. 6316, pp. 337–350. Springer, Heidelberg (2010)
Grosse, M., Bimber, O.: Coded Aperture Projection. In: IPT/EDT, pp. 1–4 (2008)
Grosse, M., Wetzstein, G., Grundhöfer, A., Bimber, O.: Coded aperture projection. ACM Trans. Graph. 22, 22:1–22:12 (2010)
Green, P., Sun, W., Matusik, W., Durand, F.: Multi-aperture photography. ACM Transactions on Graphics (Proc. SIGGRAPH) 26 (2007)
Horstmeyer, R., Oh, S.B., Raskar, R.: Iterative aperture mask design in phase space using a rank constraint. Opt. Express 18, 22545–22555 (2010)
Levin, A.: Analyzing depth from coded aperture sets. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 214–227. Springer, Heidelberg (2010)
Raskar, R., Agrawal, A., Tumblin, J.: Coded exposure photography: motion deblurring using fluttered shutter. In: ACM SIGGRAPH 2006 Papers, SIGGRAPH 2006, pp. 795–804. ACM, New York (2006)
Agrawal, A., Xu, Y.: Coded exposure deblurring: Optimized codes for psf estimation and invertibility. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2066–2073 (2009)
Tai, Y.W., Kong, N., Lin, S., Shin, S.Y.: Coded exposure imaging for projective motion deblurring. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2408–2415 (2010)
Wallace, G.K.: The jpeg still picture compression standard. Commun. ACM 34, 30–44 (1991)
Zhai, G., Zhang, W., Yang, X., Lin, W., Xu, Y.: Efficient deblocking with coefficient regularization, shape-adaptive filtering, and quantization constraint. IEEE Transactions on Multimedia 10, 735–745 (2008)
Healey, G., Kondepudy, R.: Radiometric ccd camera calibration and noise estimation. IEEE Trans. Pattern Anal. Mach. Intell. 16, 267–276 (1994)
Hess, R.: An open-source siftlibrary. In: Proceedings of the International Conference on Multimedia, MM 2010, pp. 1493–1496. ACM, New York (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bimber, O., Qureshi, H., Grundhöfer, A., Grosse, M., Danch, D. (2011). Adaptive Coded Aperture Photography. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24028-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-24028-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24027-0
Online ISBN: 978-3-642-24028-7
eBook Packages: Computer ScienceComputer Science (R0)