Abstract
A picture is blurred when it is taken by the mobile phone camera in dim light conditions. There are some hardware approaches for commercial use to solve this problem, but they cost high and occupy a large space in the camera. A software approach, called image deblurring, takes much time to process and its result is not suitable for real applications because of the ringing effect. In this paper, we introduce a fast anti-shaking algorithm that is suitable for the mobile phone camera which uses a full-size image with fast shutter speed, and a preview image. The proposed algorithm is relatively free from both cost and size restraints, and shows good ability to prevent the blur of the image. The processing time was 1.47sec and showed the blur correction rate of 65.2%.
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References
Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.: Removing camera shake from a single photograph. ACM Transactions on Graphics 25, 787–794 (2006)
Yuan, L., Sun, J., Quan, L., Shum, H.-Y.: Image deblurring with blurred/noisy image pairs. In: ACM SIGGRAPH, May 2007, vol. 26, pp. 1–10 (2007)
Shan, Q., Jia, J., Agarwala, A.: High-quality motion deblurring from a single image. ACM Transactions on Graphics 27, 1–10 (2008)
Tomasi, C., Manduchi, R.: Bilateral filtering for gray and color images. In: Proceedings of the ICCV, pp. 836–846 (1998)
Fecker, U., Barkowsky, M., Kaup, A.: Improving the prediction efficiency for multi-view video coding using histogram matching. In: Proceedings of the Picture Coding Symposium, April 2006, pp. 2–16 (2006)
Buades, A., Coll, B., Morel, J.-M.: A non-local algorithm for image denoising. Computer Vision and Pattern Recognition 2, 60–65 (2005)
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© 2009 Springer-Verlag Berlin Heidelberg
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Lee, JH., Shin, IY., Lee, HG., Kim, TY., Ho, YS. (2009). Anti-shaking Algorithm for the Mobile Phone Camera in Dim Light Conditions. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_90
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DOI: https://doi.org/10.1007/978-3-642-10467-1_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
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