Abstract
In a foggy weather, the contrast of images is drastically degraded. This makes some applications, such as video surveillance, very sensitive to weather conditions. This chapter presents a fog-degraded image enhancement method based on a human visual system (HVS). The algorithm utilizes the HVS to segment a single fog-degraded image into the DeVries-Rose region, Weber region, low-contrast, and saturation region with three subimages. With a modified contrast limited adaptive histogram equalization (CLAHE), the contrast of the subimages will be enhanced. The defog experiments will be carried out to illustrate the efficiency of the proposed method for the fog-degraded images.
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References
R. C. Gonzalez, R. E. Woods.: Digital Image Processing (second edition). Publishing house of electronics industry, Beijing (2007)
Oakly J P, Satherly B L.: Improving Images Quality in Poor Visibility Conditions Using a Physical Model for Degradation. IEEE Trans on Image Processing. vol. 7, no. 2, pp. 167–179 (1998)
Narasimhan S G. Nayar S K. Contrast Restoration of Weather Degraded Images. IEEE Transactions on Pattern Analysi and Machine Intelligence. vol. 25, no. 6, pp 713–724 (2003)
Robby T. Tan.: Visibility in Bad Weather from a Single Image. In proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage, USA, June, 24–26 (2008)
Michel Jourlin, Jean-Charles Pinoli.: Image Dynamic Range Enhancement and Stabilization in the Context of the Logarithmic Image Processing Model. Signal Processing. vol. 41, no. 2, pp. 225–237 (1995)
Karen A. Panetta, Eric J. Wharton, Sos S. Agaian.: Human Visual System-Based Image Enhancement and logarithmic contrast measure. IEEE Trans on Systems, Man, and Cybernetics—Part B: Cybernetics. vol. 38, no. 1, pp. 174–188 (2008)
Zuiderveld K.: Contrast Limited Adaptive Histogram Equalization. Graphic Gems IV. San Diego: Academic Press Professional, 474–485 (1994)
Tzong-Huei Lin, Tsair Kao.: Adaptive local contrast enhancement method for medical images displayed on a video monitor. IEEE medical engineer & physics. vol. 22, no. 2, pp. 79–87 (2000)
Acknowledgment
This work was supported in part by the Key Project of the Natural Science Research in Anhui Provincial Higher Education Institutions under Grant No. KJ2009A55, the National Natural Science Foundation of China under Grant No. 60572128, and the National Characteristics Specialty Construction under No. TS11497.
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Hu, XY., Tao, L., Wang, HB. (2012). A Contrast Enhancement Method for Fog-Degraded Images. In: Chen, R. (eds) 2011 International Conference in Electrics, Communication and Automatic Control Proceedings. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8849-2_73
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DOI: https://doi.org/10.1007/978-1-4419-8849-2_73
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