Single image dehazing in inhomogeneous atmosphere

被引：0
作者：
Wu, Peng-Fei [1 ,2 ]
Fang, Shuai [3 ]
Xu, Qing-Shan [1 ]
Rao, Rui-Zhong [1 ]
机构：
[1] Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei
[2] Graduate University of Chinese Academy of Sciences
[3] School of Computer and Information, Hefei University of Technology, Hefei
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2013年 / 41卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Image degradation; Image dehazing; Inhomogeneous atmosphere; Optical model;
D O I：
10.3969/j.issn.0372-2112.2013.10.004
中图分类号：
学科分类号：
摘要：
A new method for the restoration of degraded images in inhomogeneous atmosphere was proposed using the optical model of image degradation in inhomogeneous path. Firstly, Sky radiances at observer corresponding to the slant directions of each object in image were estimated. Then, based on the prior knowledge of dark channel, the rough relative distances of scene objects in image were estimated approximately, and as a key point, the ratio factor which reflects the inhomogeneous property of visual path in the degradation model was obtained, and subsequently atmospheric transmittance of imaging path was computed. Finally, using these parameters computed above, the degraded image can be restored by the inverse process of the optical degradation model. The experimental results show that the new algorithm is effective for actual outdoor degraded images.
引用
收藏
页码：1895 / 1902
页数：7
相关论文
共 22 条
  • [1] Rao R.-Z., Modern Atmospheric Optic, (2012)
  • [2] Stark J.A., Adaptive image contrast enhancement using generalizations of histogram equalization, IEEE Transactions on Image Processing, 9, 5, pp. 889-896, (2000)
  • [3] Rahman Z., Jobson D.J., Woodell G.A., Retinex processing for automatic image enhancement, Journal of Electronic Imaging, 13, 1, pp. 100-110, (2004)
  • [4] Wang R.-G., Zhu J., Yang W.-T., Et al., An improved local multi-scale retinex algorithm based on illuminance image segmentation, Acta Electronica Sinica, 38, 5, pp. 1181-1186, (2010)
  • [5] Lutomirski R.F., Atmospheric degradation of electrooptical system performance, Applied Optics, 17, 24, pp. 3915-3921, (1978)
  • [6] Sadot D., Kopeika N.S., Imaging through the atmosphere: Practical instrumentation-based theory and verification of aerosol modulation transfer function, Journal of the Optical Society of America A, 10, 1, pp. 172-179, (1993)
  • [7] Kopeika N.S., Sheayik T., Givati Z., Et al., Restoration of satellite images based on atmospheric MTF, Proceedings of Infrared Spaceborne Remote Sensing IV, 2817, pp. 106-117, (1996)
  • [8] Yitzhaky Y., Dror I., Kopeika N.S., Restoration of atmospherically blurred images according to weather predicted atmospheric modulation transfer functions, Optical Engineering, 36, 11, pp. 3064-3072, (1997)
  • [9] Rao R., Equivalence of MTF of a turbid medium and radiative transfer field, Chinese Optics Letters, 10, 2, (2012)
  • [10] McCartney E.J., Optics of the Atmosphere: Scattering by Molecules and Particles, (1975)
123