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References
1. Matlin, M.W., Foley, H.J.: Sensation and Perception, 4th edn. Allyn and Bacon, Boston
(1997)
2. Ciuffreda, K.J., Selenow, A., Wang, B., Vasudevan, B., Zikos, G., Ali, S.R.: Bothersome
blur: A functional unit of blur perception. Vision Research 46(6-7), 895-901 (2006);
E-published December 6 2005
3. Burr, D.C., Morgan, M.J.: Motion deblurring in human vision. Proceedings of the Royal
Society B: Biological Sciences 264(1380), 431-436 (1997)
4. Morgan, M.J., Benton, S.: Motion-deblurring in human vision. Nature 340, 385-386
(1989)
5. Chen, H.F., Lee, S.H., Kwon, O.J., Kim, S.S., Sung, J.H., Park, Y.J.: Smooth frame inser-
tion method for motion-blur reduction in LCDs. In: IEEE 7th Workshop on Multimedia
Signal Processing, pp. 581-584 (2005), ieeexplore.ieee.org
6. Ehrhardt, J., Saring, D., Handels, H.: Optical flow based interpolation of temporal image
sequences (2006)
7. Cornog, K.H., Dickie, G.A., Fasciano, P.J., Fayan, R.M.: Interpolation of a sequence of
images using motion analysis (2003)
8. Robert, P.: Method for the temporal interpolation of images and device for implementing
this method (1993)
9. de Haan, G.: IC for motion-compensated de-interlacing, noise reduction, and picture-rate
conversion. IEEE Transactions on Consumer Electronics, 617-624 (1999)
10. Ojo, O.A., de Haan, G.: Robust motion-compensated video up-conversion. IEEE Trans-
actions on Consumer Electronics 43(4), 1045-1055 (1997)
11. Dane, G., Nguyen, T.Q.: Optimal temporal interpolation filter for motion-compensated
frame rate up conversion. IEEE Transactions on Image Processing 15(4), 978-991 (2006)
12. Karim, H.A., Bister, M., Siddiqi, M.U.: Multiresolution motion estimation for low-
rate video frame interpolation. EURASIP Journal on Applied Signal Processing (11),
1708-1720 (2004)
13. Dubois, E., Konrad, J.: Estimation of 2-d motion fields from image sequences with ap-
plication to motion-compensated processing. In: Sezan, M., Lagendijk, R. (eds.) Motion
Analysis and Image Sequence Processing, pp. 53-87. Kluwer Academic Publishers, Dor-
drecht (1993)
14. Chahine, M., Konrad, J.: Motion-compensated interpolation using trajectories with ac-
celeration. In: Proc. IS&T/SPIE Symp. Electronic Imaging Science and Technology,
Digital Video Compression: Algorithms and Technologies 1995, vol. 2419, pp. 152-163
(1995)
15. Brox, T., Bruhn, A., Papenberg, N., Weickert, J.: High Accuracy Optical Flow Estimation
Based on a Theory for Warping. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS,
vol. 3024, pp. 25-36. Springer, Heidelberg (2004)
16. Vedula, S., Baker, S., Kanade, T.: Image-based spatio-temporal modeling and view in-
terpolation of dynamic events. ACM Transactions on Graphics 24(2), 240-261 (2005)
17. Lucas, B., Kanade, T.: An iterative image registration technique with an application to
stereo vision. In: International Joint Conference on Artificial Intelligence, pp. 674-679
(1981)
18. Shechtman, E., Caspi, Y., Irani, M.: Space-Time Super-Resolution. IEEE Trans. on Pat-
tern Analysis and Machine Intelligence 27(4), 531-545 (2005)
19. Freeman, W.T., Pasztor, E.C., Carmichael, O.T.: Learning low-level vision. International
Journal of Computer Vision 40(1), 25-47 (2000)
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