Browse > Article
http://dx.doi.org/10.5139/JKSAS.2016.44.1.33

Analysis and dehazing of near-infrared images  

Yu, Jae Taeg (Agency for Defense Development)
Ra, Sung Woong (Chungnam National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.44, no.1, 2016 , pp. 33-39 More about this Journal
Abstract
Color image dehazing techniques have been extensively studied, and especially the dark channel prior (DCP)-based method has been widely used. Near infrared (NIR) image based applications are also widespread; however, NIR image-specific dehazing techniques have not attracted great interest. In this paper, the characteristics of NIR images are analyzed and compared with the color images' characteristics. The conventional color image dehazing method is also applied to NIR images to understand its effectiveness on different frequency-band signals. Furthermore, we modify the DCP method considering the characteristics of NIR images and show that our proposed method results in improved dehazed NIR images.
Keywords
Dark channel prior(DCP); Near-infrared; Image dehazing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C. Feng, S. Zhuo, X. Zhang, L. Shen and S.Susstrunck, "Near-infrared guided color image dehazing," in Proc. of IEEE Conf. on Image Processing(ICIP), pp. 2363-2367, Sept 2013.
2 L. Schaul, C. Fredembach and S. Susstrunck, "Color image dehazing using the near-infrared," in Proc. of IEEE Conf. on Image Processing(ICIP) Nov 2009.
3 http://ivrgwww.epfl.ch/research/topics/nir.html
4 K. Mangold, J. A. Shaw and M. Vollmer, "The physics of near-infrared photography," European Journal of Physics vol. 34, no. 6, pp.51-71. 2013.   DOI
5 A. Levin, D. Lischinsky and Y. Weiss, "A closed-form solution to natural image matting," IEEE trans. on Pattern Anal & Machine Intell. vol.30, no.2 pp.228-242, 2008.   DOI
6 K. He, J. Sun and X. Tang, "Guided image filtering," IEEE trans. on Pattern Anal & Machine Intell, vol.35, no.6,pp.1397-1409, 2013.   DOI
7 ttp://ivrl.epfl.ch/supplementary_material/cvpr11/
8 X. Pan, F Xie and J. Yin, "Haze Removal for a Single Remote Sensing," IEEE Signal Processing Letters, vol. 22, no.10, pp.1806-1810. 2015.   DOI
9 S. G. Narasimhan and S. K. Nayar, "Contrast restoration of weather degraded images, " IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 25, no. 6, pp. 713-724, June 2003.   DOI
10 R. R. Tan, "Vision in bad weather, " in Proc. of IEEE Conf. on Computer Vision, pp. 820-827, Kerkyra, Greece, September 1999.
11 K. He, J. Sun and X. Tang, "Single image haze removal using dark channel prior, " in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1956-1963, Miami, USA, June 2009.
12 R. T. Tan, "Visibility in bad weather from a single image, " in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1-8, Anchorage, USA, June 2008.
13 H. Yang and J Wang, "Color image contrast enhancement by co-occurrence histogram equalization and dark channel prior," in Proc. CISP, 2010 3rd International Congress on. IEEE, pp.659-663, Oct, 2010.