Acknowledgement
This paper was supported by research funds from Dong-A University.
References
- D. Ngo, G. D. Lee and B. Kang, "A 4K-Capable FPGA Implementation of Single Image Haze Removal Using Hazy Particle Maps," Applied Sciences, Vol.9, No.17, pp.3443-3457, 2019. DOI: 10.3390/app9173443
- D. Ngo, S. Lee, U. J. Kang, T. M. Ngo, G. D. Lee and B. Kang, "Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator," Applied Sciences, Vol.22, No.5, pp.1957-1981, 2022. DOI: 10.3390/s22051957
- D. Ngo, S. Lee, Q. H. Nguyen, T. M. Ngo, G. D. Lee and B. Kang, "Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems," Sensors, Vol.20, No.18, pp.5170-5190, 2020. DOI: 10.3390/s20185170
- K. He, J. Sun, and X. Tang, "Single Image Haze Removal Using Dark Channel Prior," EEE Transactions on Pattern Analysis and Machine Intelligence, Vol.33, No.12, pp.2341-2353, 2011. DOI: 10.1109/TPAMI.2010.168
- A. Levin, D. Lischinski and Y. Weiss, "A Closed-Form Solution to Natural Image Matting," in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.30, No.2, pp.228-242, 2008. DOI: 10.1109/TPAMI.2007.1177
- G. J. Kim, S. Lee, and B. Kang, "Single Image Haze Removal Using Hazy Particle Maps," IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Vol.E101-A, No.11, pp.1999-2002, 2018. DOI: 10.1587/transfun.E101.A.1999
- D. Ngo, G. D. Lee and B. Kang, "Haziness degree evaluator: A knowledge-driven approach for haze density estimation," Sensors, Vol.21, No.11, pp. 3896-3927, 2021. DOI: 10.3390/s21113896
- H. SIM and B. Kang "Hazy Particle Map-based automated fog removal method with Haziness Evaluator applied," Journal of Korea Multimedia Society, 'in press'
- S. G. Narasimhan and S. K. Nayar, "Vision and the Atmosphere," International Journal of Computer Vision, Vol.8, No.3, pp.233-254, 2002. DOI: 10.1023/A:1016328200723
- J. Tarel and N. Hautiere, "Fast visibility restoration from a single color or gray level image," 2009 IEEE 12th International onference on Computer Vision, pp. 2201-2208, 2009. DOI: 10.1109/ICCV.2009.5459251
- H. Cho, G. J. Kim, K. Jang, S. Lee and B. Kang, "Color Image Enhancement Based on Adaptive Nonlinear Curves of Luminance Features," J. Semicond. Technol. Sci, Vol.15, No.1, pp.60-67. 2015. DOI: 10.5573/JSTS.2015.15.1.060
- Z. Wang, A. C. Bovik, H. R. Sheikh, end E. P. Simoncelli, "Image Quality Assessment: from Error Visibility Tostructural Similarity," IEEE Transactions on Image Process. Vol.13, No.4, pp.600-612, 2014. DOI: 10.1109/TIP.2003.819861
- L. Zhang, X. Mou, and D. Zhang, "FSIM: A Feature Similarity Index for Image Quality Assessment," IEEE Transactions on Image Process. Vol.20, No.8, pp.2378-2386, 2011. DOI: 10.1109/TIP.2011.2109730
- H. Yeganeh and Z. Wang, "Objective Quality Assessment of Tone-Mapped Images," IEEE Transactions on Image Process. Vol.22, No.2, pp. 657-667, 2013. DOI: 10.1109/TIP.2012.2221725
- C. Ancuti, C. O. Ancuti, R. Timofte, and C. De Vleeschouwer, "I-HAZE: A Dehazing Benchmark with Real Hazyand Haze-Free Indoor Images," Advanced Concepts for Intelligent Vision Systems, pp.620-631, 2018. DOI: 10.48550/arXiv.1804.05091
- C. Ancuti, C. O. Ancuti and C. De Vleeschouwer, "D-HAZY: A dataset to evaluate quantitatively dehazing algorithms," In Proceedings of the IEEE International Conference on Image Processing (ICIP), pp.2226-2230, 2016. DOI: 10.1109/ICIP.2016.7532754