1 |
S. G. Narasimhan and S. K. Nayar, "Chromatic framework for vision in bad weather," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 598-605, Jun. 2000.
|
2 |
S. K. Nayar and S. G. Narasimhan, "Vision in bad weather," in Proc. IEEE Conf. Computer Vision, vol. 2, pp.820-827, Kerkyra, Greece, Sept., 1999.
|
3 |
J. Kim and H. Shin, Algorithm & SoC Design for Automotive Vision Systems: For Smart Safe Driving Systems. Springer, Jan. 2014.
|
4 |
G. A. Jones, N. Paragios, and C. S. Regazzoni, Video-based surveillance systems: computer vision and distributed processing. Springer, Oct. 2012.
|
5 |
R. T. Tan, "Visibility in bad weather from a single image," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 1-8, Anchorage, USA, Jun. 2008.
|
6 |
R. Fattal, "Single image dehazing," ACM Trans. Graphics, vol. 27, no. 3, pp. 72, Aug. 2008.
DOI
|
7 |
K. He, J. Sun, and X. Tang, "Single image haze removal using dark channel prior," IEEE Trans. Pattern Analysis & Machine Intelligence, vol. 33, no. 12, pp. 2341-2353, Dec. 2011.
DOI
|
8 |
M. Kim, Y. Park, B. O. Kim, and T. H. Kim, "Optimization of Dehazing Method for Efficient Implementation," Journal of The Institute of Electronics and Information Engineers, vol. 53, no. 10, pp. 58-65, Oct. 2016.
DOI
|
9 |
W. T. Kim and T. H. Kim, "High-Speed and High-Quality Haze Removal Method Using Dual Dark Channels," The summer conference of Institute of Electronics and Information Engineers, pp. 655-658, Jun. 2015.
|
10 |
W. T. Kim, H. W. Bae, and T. H. Kim, "Fast and High- Quality Haze Removal Method Based on Transmission Correction," Journal of The Institute of Electronics and Information Engineers, vol. 51, no. 11, pp 165-173, Nov. 2014.
DOI
|
11 |
S. Lee, S. Yun, J.-H. Nam, C. S. Won, and S.-W. Jung, "A review on dark channel prior based image dehazing algorithms," EURASIP Journ. Image & Video Processing, vol. 2016, no. 4, pp. 1-23, Jan. 2016.
DOI
|
12 |
P. Garg, S. Gupta, B. Bhushan, and P. C. Vashist, "An in-depth analyses of various defogging techniques," International Journ. Signal Processing, Image Processing & Pattern Recognition, vol. 8, no. 10, pp. 279-296, Oct. 2015.
DOI
|
13 |
D. D. Gajski, N. D. Dutt, A. C. Wu, and S. Y. Lin, High-Level Synthesis: Introduction to Chip and System Design. Springer Science & Business Media, Sep. 2012.
|
14 |
Z. Liang, H. Liu, B. Zhang, and B. Wang, "Real-time hardware accelerator for single image haze removal using dark channel prior and guided filter," IEICE Electron. Exp., vol. 11, no. 24, pp. 1-12, Dec. 2014.
|
15 |
K. He, J. Sun, and X. Tang, "Guided image filtering," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 35, no. 6, pp. 1397-1409, Jun. 2013.
DOI
|
16 |
Altera SDK for OpenCL: Best Practices Guide, Altera, 2015. [Online]. Available: https://www.altera.com/en_US/pdfs/literature/hb/opencl-sdk/aocl-best-practices-guide.pdf.
|
17 |
Y. H. Shiau, H. Y. Hung, P. Y. Chen, and Y. Z. Chuang, "Hardware implementation of a fast and efficient haze removal method," IEEE Trans. Circuits and Systems for Video Technology, vol. 23, no.8, pp. 1369-1374, Aug. 2013.
DOI
|
18 |
H. J. Kang, Y. H. Kim, and Y. H. Lee, "FPGA implementation for enhancing image using pixel-based median channel prior," International Journal of Multimedia and Ubiquitous Engineering vol. 10, no. 9, pp. 147-154, Oct. 2015.
DOI
|
19 |
Z. Bin and J. Zhao., "Hardware implementation for real-time haze removal," IEEE Trans. Very Large Scale Integration (VLSI) Systems, vol. 25, no. 3, pp. 1188-1192, Mar. 2017.
DOI
|