A Survey on Camera Shake Removal Techniques

Sreelakshmi P M, Federal Institute Of Science And Technology; Paul P Mathai ,Federal Institute of Science And Technology

Deblurring, SURF algorithm, Burst registration

Camera Shake is caused by not holding the camera still. Because of hand tremors, the shake can be too much. This will result in a blurred, or sometimes an image over image. Camera shake is more when there is no adequate light source and when using long lenses which exaggerate movement, and also when taking images of moving objects. Camera Shake is caused by not holding the camera still. Because of hand tremors, the shake can be too much. This will result in a blurred, or sometimes an image over image. Camera shake is more when there is no adequate light source and when using long lenses which exaggerate movement, and also when taking images of moving objects. Image blur can be observed when the camera focus is not properly set, when there are different objects at different depths, or in the presence of is a motion blur. In order to remove camera shake, many algorithms have been proposed. In this paper we will examine different methods and techniques of camera shake removal. In order to remove camera shake, many algorithms have been proposed. In this paper we will examine different methods and techniques of camera shake removal.
    [1] O.Whyte, J. Sivic, A. Zisserman, and J. Ponce, Non-uniform deblurring for shaken images,” Int. J. Comput. Vis., vol. 98, no. 2, pp. 168–186, 2012. [2] T. Buades, Y. Lou, J.-M. Morel, and Z. Tang, A note on multi-image denoising,” in Proc. Int. Workshop Local Non-Local Approx. Image Process. (LNLA), Aug. 2009, pp. 1–15. [3] H. Zhang, D. Wipf, and Y. Zhang,Multi-image blind deblurring using a coupled adaptive sparse prior, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1051–1058. [4] Boracchi and A. Foi, Modeling the performance of image restoration from motion blur, IEEE Trans. Image Process., vol. 21, no. 8,pp. 3502–3517, Aug. 2012. [5] B. Zitová and J. Flusser, Image registration methods: A survey, Image Vis. Comput. vol. 21, no. 11, pp. 977–1000, 2003. [6] M. Lebrun, A. Buades, and J.-M. Morel, Implementation of the‘non-local Bayes’ (NL-Bayes) image denoising algorithm Image Process. Line, vol. 3, pp. 1–42, Jul. 2013. [7] A. Rav-Acha and S. Peleg, Two motion-blurred images are better than one,Pattern Recognit. Lett., vol. 26, no. 3, pp. 311–317, 2005. [8] R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman,Removing camera shake from a single photograph, ACM Trans. Graph., vol. 25, no. 3, pp. 787–794, 2006. [9] L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, Image deblurring with blurred/noisy image pairs, ACM Trans. Graph., vol. 26, no. 3, 2007, Art. ID 1. [10] Q. Shan, J. Jia, and A. Agarwala, High-quality motion deblurring froma single image, ACM Trans. Graph., vol. 27, no. 3, 2008, Art. ID 73. [11] S. Cho and S. Lee, Fast motion deblurring ACM Trans. Graph.,vol. 28, no. 5, 2009, Art. ID 145. [12] X. Zhu, F. Šroubek, and P. Milanfar, Deconvolving PSFs for a better motion deblurring using multiple images, in Proc. IEEE 12th Eur. Conf. Comput. Vis. (ECCV), Oct. 2012, pp. 636–647. [13] F. Sroubek and P. Milanfar Robust multichannel blind deconvolution via fast alternating minimization, IEEE Trans. Image Process., vol. 21, no. 4, pp. 1687–1700, Apr. 2012. [14] H. Zhang, D. Wipf, and Y. Zhang, Multi-image blind deblurring using a coupled adaptive sparse prior}, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1051–1058. [15] L. Xu, S. Zheng, and J. Jia,Unnatural L0 sparse representation for natural image deblurring, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1107–1114. [16] A. Ito, A. C. Sankaranarayanan, A. Veeraraghavan, and R. G. Baraniuk, Blurburst: Removing blur due to camera shake using multiple images,ACM Trans. Graph., to be published. [17] Mauricio Delbracio and Guillermo Sapiro, Removing Camera Shake via Weighted Fourier Burst Accumulation, IEEE Tans.on Image Processing, VOL. 24, NO. 11, November 2015 3293
Paper ID: GRDJEV01I100003
Published in: Volume : 1, Issue : 10
Publication Date: 2016-10-01
Page(s): 8 - 13