Abstract
A moving object or camera causes motion blur in a conventional photograph, which is a fundamental problem of a camera. In this research, we propose to code a motion-invariant blur using a programmable aperture camera. The camera can realizes virtual camera motion by translating the opening, and as a result, we obtain a coded image in which motion blur is invariant with the object velocity. Thereby, we recover motion blurs without estimation of the motion blur kernels or knowledge of the object speeds. We model the projection of the programmable aperture camera, and also demonstrate that our proposed coding works for a prototype camera.
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References
Canon Inc: EF Lens Work III, The Eyes of EOS. (Lens Product Group)
Jansson, P.: Deconvolution of image and spectra, 2nd edn. Academic Press (1997)
Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.T.: Removing camera shake from a single photograph. ACM Trans. Graph. 25(3), 787–794 (2006)
Joshi, N., Szeliski, R., Kriegman, D.: PSF estimation using sharp edge prediction. In: Proc. CVPR (2008)
Shan, Q., Jia, J., Agarwala, A.: High-quality motion deblurring from a single image. ACM Trans. Graph. 27(3), 1 (2008)
Yuan, L., Sun, J., Quan, L., Shum, H.Y.: Progressive interscale and intra-scale non-blind image deconvolution. ACM Trans. Graph. 27(3), 1 (2008)
Ben-ezra, M., Nayar, S.K.: Motion-based motion deblurring. IEEE Trans. Pattern Recognition and Machine Intelligence (2004)
Yuan, L., Sun, J., Quan, L., Shum, H.Y.: Image deblurring with blurred/noisy image pairs. ACM Trans. Graph. 26(3), 1 (2007)
Bar, L., Berkels, B., Sapiro, G., Rump, M.: A variational framework for simultaneous motion estimation and restoration of motion-blurred video. In: Proc. ICCV (2007)
Raskar, R., Agrawal, A., Tumblin, J.: Coded exposure photography: motion deblurring using fluttered shutter. ACM Trans. Graph. 25(3), 795–804 (2006)
Agrawal, A., Xu, Y.: Coded exposure deblurring: optimized codes for psf estimation and invertibility. In: Proc. CVPR (2009)
Levin, A., Sand, P., Cho, T.S., Durand, F., Freeman, W.T.: Motion-invariant photography. ACM Trans. Graph. 27(3), 71:1–71:9 (2008)
McCloskey, S., Muldoon, K., Venkatesha, S.: Motion invariance and custom blur from lens motion. In: Proc. ICCP (2011)
Cho, T.S., Levin, A., Durand, F., Freeman, W.: Motion blur removal with orthogonal parabolic exposures. In: Proc. ICCP (2010)
Bando, Y., Chen, B.Y., Nishita, T.: Motion deblurring from a single image using circular sensor motion. Computer Graphics Forum 30(7), 1869–1878 (2011)
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)
Dabov, K., Foi, A., Egiazarian, K.: Image restoration by sparse 3d transform-domain collaborative filtering. In: Proc. SPIE Electronic Imaging, vol. 6812, no. 6812–1D (2008)
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Sonoda, T., Nagahara, H., Taniguchi, Ri. (2013). Motion-Invariant Coding Using a Programmable Aperture Camera. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds) Computer Vision – ACCV 2012. ACCV 2012. Lecture Notes in Computer Science, vol 7727. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37447-0_29
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DOI: https://doi.org/10.1007/978-3-642-37447-0_29
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