• Laser & Optoelectronics Progress
  • Vol. 55, Issue 1, 11012 (2018)
Yu Ping and Hao Chengcheng*
Author Affiliations
  • Department of Electronic and Communication Engineering, North China Electric Power University,Baoding, Hebei 071003, China
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    DOI: 10.3788/LOP55.011012 Cite this Article Set citation alerts
    Yu Ping, Hao Chengcheng. Foggy Image Enhancement by Combined Fractional Differential and Multi-Scale Retinex[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11012 Copy Citation Text show less
    References

    [1] Gao Y, Yun L J, Shi J S et al. Enhancement dark channel algorithm of fog image based on the TV model[J]. Chinese Journal of Lasers, 42, 0809001(2015).

    [2] Feng W Y, Chen Q, He W J et al. A defogging method based on hyperspectral unmixing[J]. Acta Optica Sinica, 35, 0110002(2015).

    [3] Li Y M, Ren T T. Image enhancement method based on car secondary safety system in smog days[J]. Laser & Optoelectronics Progress, 53, 041003(2016).

    [4] Yu T, Riaz I, Piao J et al. Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior[J]. IET Image Processing, 9, 725-734(2015). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7224071

    [5] Tang L, Chen S, Liu W et al. Improved Retinex image enhancement algorithm[J]. Procedia Environmental Sciences, 11, 208-212(2011). http://www.sciencedirect.com/science/article/pii/S1878029611008553

    [6] Rong Z, Li Z, Li D N. Study of color heritage image enhancement algorithms based on histogram equalization[J]. Optik, 126, 5665-5667(2015). http://www.sciencedirect.com/science/article/pii/S0030402615009365

    [7] Nikam S D, Yawale R U. Color image enhancement using daubechies wavelet transform and HIS color model[C]. International Conference on Industrial Instrumentation and Control, IEEE, 1323-1327(2015).

    [8] Jordanski M, Arsic A, Tuba M. Dynamic recursive subimage histogram equalization algorithm for image contrast enhancement[C]. Telecommunications Forum Telfor, IEEE, 819-822(2015).

    [9] Land E H. Recent advances in Retinex theory and some implications for cortical computations: color vision and the natural image[J]. Proceedings of the National Academy of Sciences of the United States of America, 80, 5163-5169(1983). http://www.jstor.org/stable/14215

    [10] Yang A P, Bai H H. Night image abstraction algorithm based on Retinex theory and dark channel a prior[J]. Laser & Optoelectronics Progress, 54, 041002(2017).

    [11] Pei S C, Lee T Y. Nighttime haze removal using color transfer pre-processing and Dark Channel Prior[C]. IEEE International Conference on Image Processing, IEEE, 957-960(2012).

    [12] Rahman Z, Jobson D J, Woodell G A. Multi-scale Retinex for color image enhancement[C]. International Conference on Image Processing, IEEE, 1003-1006(2002).

    [13] Jobson D J, Rahman Z, Woodell G A. A multiscale Retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 6, 965-976(1997). http://dl.acm.org/citation.cfm?id=2319385

    [14] He K, Sun J, Tang X. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2013).

    [15] Hao W, He M, Ge H et al. Retinex-like method for image enhancement in poor visibility conditions[J]. Procedia Engineering, 15, 2798-2803(2011). http://www.sciencedirect.com/science/article/pii/S1877705811020285

    [16] Zhang J, Cao Y, Wang Z. Nighttime haze removal based on a new imaging model[C]. IEEE International Conference on Image Processing, IEEE, 4557-4561(2014).

    [17] Garg V, Singh K. Animproved Grunwald-Letnikov fractional differential mask for image texture enhancement[J]. International Journal of Advanced Computer Science and Applications, 3, 130-135(2012). http://www.oalib.com/paper/2569436

    [18] Wang C, Lan L, Zhou S. Grunwald-Letnikov based adaptive fractional differential algorithm on image texture enhancing[J]. Journal of Computational Information Systems, 9, 445-454(2013). http://www.researchgate.net/publication/288104561_Grunwald-Letnikov_based_adaptive_fractional_differential_algorithm_on_image_texture_enhancing

    [19] Gou R. Imageenhancement template construction based on fractional differential[J]. Computer Engineering and Design, 35, 3554-3557(2014).

    Yu Ping, Hao Chengcheng. Foggy Image Enhancement by Combined Fractional Differential and Multi-Scale Retinex[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11012
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