References
- Agarwala, A., Dontcheva, M., Agrawala, M., Drucker, S., Colburn, A., Curless, B., Salesin, D., Cohen, M. (2004) Interactive digital photomontage. ACM Transactions on Graphics 23(3), 294-302. https://doi.org/10.1145/1015706.1015718
- Air Resource Managements (ARM) (2007) WinHaze Model. http://webcam.srs.fs.fed.us/winhaze.htm (19 Sep 2007).
- Chung, Y.S., Kim, H.S., Dulam, J., Harris, J. (2003) On heavy dust fall observed with explosive sandstorms in Chongwon-Chongju, Korea in 2002. Atmospheric Environment 37(24), 3425-3433. https://doi.org/10.1016/S1352-2310(03)00360-1
- Ensor, D.S., Waggoner, A.P. (1970) Angular truncation error in the integrating nephelometer. Atmospheric Environment 4(5), 481-487. https://doi.org/10.1016/0004-6981(70)90018-1
- Gazzi, M., Georgiadis, T., Vicentini, V. (2001) Distant contrast measurement through fog and thick haze. Atmospheric Environment 35(30), 5143-5149 https://doi.org/10.1016/S1352-2310(01)00333-8
- Gooch, A.A., Olsen, S.C., Tumblin, J., Gooch, B. (2005) Color2gray: Salience-preserving color removal. ACM Transactions on Graphics. Proceeding of SIGGRAPH 24, 3.
- Gumprecht, R.O., Sliepcevich, C.M. (1953) Scattering of light by large spherical particles. Journal of Chemical Physics 57, 90-95. https://doi.org/10.1021/j150502a019
- Horn, B. (1974) Determining lightness from an image. Computer Graphics and Image Processing 3(1), 277-299. https://doi.org/10.1016/0146-664X(74)90022-7
- Horvath, H. (1995) Estimation of the average visibility in central Europe. Atmospheric Environment 29(2), 241-246. https://doi.org/10.1016/1352-2310(94)00236-E
- Jayaraman, A., Gadhavi, H., Ganguly, D., Misra, A., Ramachandran, S., Rajesh T.A. (2006) Spatial variation in aerosol characteristics and regional radiative forcing over India: measurement and modeling of 2004 road campaign experiment. Atmospheric Environment 40 (34), 6504-6515. https://doi.org/10.1016/j.atmosenv.2006.01.034
- Kim, B.K., Kang, B.W., Lee, K.S., Choi, J.C. (2005) Development of Real-time visibility monitoring system using image contrast. Journal of The Korean Meteorological Society 41(3), 449-459.
- Kim, K.W. (2004) Physico-Chemical Characteristics of Visibility Impairment in an Urban Area & Development of a Remote Digital Visibility Monitoring. Ph.D. Dissertation, Department of Environmental Science and Engineering. Kwangju Institute of Science and Technology, 65-71.
- Luo, C.H., Wen, C.H., Yuan, C.S., Liaw, J.J., Lo, C.C., Chiu, S.H. (2005) Investigation of urban atmospheric visibility by high-frequency extraction: Model development and field test. Atmospheric Environment 39(14), 2545-2552. https://doi.org/10.1016/j.atmosenv.2005.01.023
- Malm, W.C. (1999) Introduction to visibility. Cooperative Institute for Research in the Atmosphere, Colorado State University, pp. 3-29.
- Ministry for the environment (2001) Good practice guide for monitoring and management of visibility in New Zealand. http://www.mfe.gov.nz
- Perez, P., Gangnet, M., Blake, A. (2003) Poisson image editing. ACM Transactions on Graphics 22(3), 313-318. https://doi.org/10.1145/882262.882269
- Peter, J.B., Walter, M. (2002) Spatial frequency, phase, and the contrast of natural image. Journal of Optical Society of America 19, 6.
- Petrou, M., Bosdogianni, P. (1999) Imaging Processing: the Fundamentals. Wiley, England, 22-86.
- Scott, E.U. (2005) Computer Imaging-Digital Image Analysis and Processing. Taylor & Francis, 212-224.
- Sun, J., Jia, J., Tang, C.K., Shum, H.Y. (2004) Poisson matting. ACM Transactions on Graphics 23(3), 315-321. https://doi.org/10.1145/1015706.1015721
- Yan, H. (2007) Aerosol scattering properties in north China. Atmospheric Environment 41(32), 6916-6922. https://doi.org/10.1016/j.atmosenv.2007.04.052
- Yuan, C.S., Lee, C.G., Liu, S.H., Chang, J.C., Yuan, C., Yang, H.Y. (2006) Correlation of atmospheric visibility with chemical composition of Kaohsiung aerosols. Atmospheric Research 82(3-4), 663-679. https://doi.org/10.1016/j.atmosres.2006.02.027
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