CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior

by Abhijit R. Mange
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 19
Year of Publication: 2014
Authors: Abhijit R. Mange
10.5120/16906-6979

Abhijit R. Mange . Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior. International Journal of Computer Applications. 96, 19 ( June 2014), 46-50. DOI=10.5120/16906-6979

@article{ 10.5120/16906-6979,
author = { Abhijit R. Mange },
title = { Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 19 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 46-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number19/16906-6979/ },
doi = { 10.5120/16906-6979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:14.088190+05:30
%A Abhijit R. Mange
%T Stabilizing Atmospheric Turbulence in a Long Range Surveillance using Dark Channel Prior
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 19
%P 46-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Various types of turbulences affect the visual quality during video surveillance. Turbulence such as fog or haze is responsible for image contrast. Removing this turbulence is a challenging problem in video surveillance. We used a method for stabilizing this atmospheric turbulence using dual tree complex wavelet fusion. Informative ROIs are selected using frame selection method from good quality frames. Morphological erosion is done afterwards. Image fusion is done using dual tree complex wavelet transform so as to fuse two images. In this paper, dark channel prior mechanism is proposed for haze removal. Finally image quality assessment is done. This proposed method is shown to outperform existing one and provide enhance visual quality in the range of surveillance scenarios.

References
  1. Abhijit R. Mange, Chitra M. Gaikwad, "Stabilizing Atmospheric Turbulence in a Video Surveillance using Dual Tree Complex Wavelet Fusion" International Journal of Computer Applications (0975 - 8887), Volume 88 – No. 5, February 2014.
  2. Nantheera Anantrasirichai, Member, IEEE, Alin Achim, Senior Member, IEEE, Nick G. Kingsbury, Fellow, IEEE, and David R. Bull, Fellow, IEEE, "Atmospheric Turbulence Mitigation Using Complex Wavelet-Based Fusion" IEEE Transactions On Image Processing, Vol. 22, No. 6, June 2013.
  3. S. Harmeling, M. Hirsch, S. Sra, and B. Scholkopf, "Online blind image deconvolution for astronomy," in Proc. IEEE Conf. Comp. Photogr. , Apr. 2009, pp. 1–7.
  4. Jerome Gilles, Tristan Dagobert, Carlo De Franchis, "Atmospheric turbulence restoration by diffeomorphic image registration and blind deconvolution".
  5. J. J. Lewis, R. J. O'Callaghan, S. G. Nikolov, D. R. Bull, C. N. Canagarajah, and Essa Basaeed, "Region-based image fusion using complex wavelets," in Proc. 7th Inter. Conf. Info. Fusion, 2004, pp. 555–562.
  6. I. W. Selesnick, R. G. Baraniuk, and N. G. Kingsbury, "The dual-tree complex wavelet transform," Signal Processing Magazine, IEEE, vol. 22, no. 6, pp. 123 – 151, nov. 2000.
  7. N. Otsu, "A threshold selection method from gray-level histograms," Systems, Man and Cybernetics, IEEE Transactions on, vol. 9, no. 1, pp. 62 –66, jan. 1979.
  8. H. Chen and N. Kingsbury, "Efficient registration of nonrigid 3-d bodies," Image Processing, IEEE Transactions on, vol. 21, no. 1, pp. 262–272, jan. 2012.
  9. T. Wan, N. Canagarajah, and A. Achim, "Segmentation driven image fusion based on alpha-stable modeling of wavelet coefficients," IEEE Trans. Multimedia, vol. 11, no. 4, pp. 624–633, Jun. 2009.
  10. R. J. O'Callaghan and D. R. Bull, "Combined morphological-spectral unsupervised image segmentation," Image Processing, IEEE Transactions on, vol. 14, no. 1, pp. 49 –62, jan. 2005.
  11. Kaiming He ; Dept. of Inf. Eng. , Chinese Univ. Of Hong Kong, Hong Kong, China ; Jian Sun ; Xiaoou Tang, "Single image haze removal using dark channel prior", Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on 20-25 June 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Mitigation Turbulence Segmentation Restoration.

Powered by PhDFocusTM