Abstract
Heat scintillation occurs due to the index of refraction of air decreasing with an increase in air temperature, causing objects to appear blurred and waver slowly in a quasi-periodic fashion. This imposes limitations on sensors used to record images over long distances resulting in a loss of detail in the video sequences. A method of filtering turbulent sequences using grid smoothing is presented that can be used to either extract a single geometrically improved frame or filter an entire turbulent sequence. The extracted frame is in general sharper than when utilising simple GFATR (Generalized First Average Then Register). It also better preserves edges and lines as well as being geometrically improved.
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.
Similar content being viewed by others
References
Li, D., Mersereau, R.M., Frakes, D.H., Smith, M.J.T.: A New Method For Suppressing Optical Turbulence In Video. In: Proc. European Signal Processing Conference, EUSIPCO 2005 (2005)
Fraser, D., Thorpe, G., Lambert, A.: Atmospheric turbulence visualization with wide-area motion blur restoration. Optical Society of America, 1751–1758 (1999)
Kopriva, I., Du, Q., Szu, H., Wasylkiwskyj, W.: Independent Component Analysis approach to image sharpening in the presence of atmospheric turbulence. Optics Communications 233, 7–14 (2004)
Tahtali, M., Fraser, D., Lambert, A.J.: Restoration of non-uniformly warped images using a typical frame as prototype. TENCON 2005-2005 IEEE Region 10, 1382–1387 (2005)
Zhao, W., Bogoni, L., Hansen, M.: Video Enhancement by Scintillation Remova. In: Proc. of the 2001 IEEE International Conference on Multimedia and Expo., pp. 393–396 (2001)
Frakes, D.H., Monaco, J.W., Smith, M.J.T.: Suppression of atmospheric turbulence in video using an adaptive control grid interpolation. In: Proc. of the IEEE Int. Conf. Acoustics, Speech, and Signal Processing, pp. 1881–1884 (2001)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision (darpa). In: Proc. of the 1981 DARPA Image Understanding Workshop, pp. 121–130 (April 1981)
Periaswamy, S., Farid, H.: Elastic Registration in the presence of Intensity Variations. IEEE Transactions on Medical Imaging 22, 865–874 (2003)
Noel, G., Djouani, K., Hamam, Y.: Grid smoothing: A graph-based approach. In: Bloch, I., Cesar Jr., R.M. (eds.) CIARP 2010. LNCS, vol. 6419, pp. 153–160. Springer, Heidelberg (2010)
Hamam, Y., Couprie, M.: An optimisation-based approach to mesh smoothing: Reformulation and extensions. In: Torsello, A., Escolano, F., Brun, L. (eds.) GbRPR 2009. LNCS, vol. 5534, pp. 31–41. Springer, Heidelberg (2009)
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
Abdoola, R., Noel, G., van Wyk, B., Monacelli, E. (2011). Correction of Atmospheric Turbulence Degraded Sequences Using Grid Smoothing. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_32
Download citation
DOI: https://doi.org/10.1007/978-3-642-21596-4_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21595-7
Online ISBN: 978-3-642-21596-4
eBook Packages: Computer ScienceComputer Science (R0)