Imaging and Calibration of Ships on Water Surface

Yao Hongbing; Huang Yin; Bian Jinwen; Li Hangyu; Wang Cheng

doi:10.3788/lop55.081009

[1] Wang S G, You M J, Song L. Improved algorithm of histogram equalization for image enhancement［J］. Chinese Journal of Medical Instrumentation, 2017, 41(3): 175-176.

[2] Li W Z, Yi B S, Qiu K, et al. Detail preserving multi-exposure image fusion［J］. Optics and Precision Engineering, 2016, 24(9): 2283-2292.

[3] Chang L H, Feng X C, Zhang R. Image fusion scheme based on quaternion wavelet transform and sparse representation［J］. Systems Engineering and Electronics, 2017, 39(7): 1633-1639.

[4] Tan R T. Visibility in bad weather from a single image［C］∥IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 2008: 1-8.

[5] He K, Sun J, Tang X O. Single image haze removal using dark channel prior［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.

[6] Shao D G, Deng Y Y, Xiang Y, et al. Speckle reduction based on adaptive Gauss filtering［J］. Journal of Data Acquisition & Processing, 2017, 32(4): 746-753.

[7] Sun H J, Wang Y J, Liu W N. Enhancement of infrared images based on adaptive platform threshold and Laplace transformation［J］. Chinese Optics and Applied Optics, 2011, 4(5): 474-479.

[8] Jia H P, Zhang Y Q, Long G P, et al. Research on Laplace image enhancement algorithm optimization based on OpenCL［J］. Computer Science, 2012, 39(5): 271-277.

[9] Wang L Z, Yao X T, Meng Z, et al. An optical coherence tomography attenuation compensation algorithm based on adaptive multi-scale retinex［J］. Chinese Journal of Lasers, 2013, 40(12): 1204001.

[10] Yang A P, Bai H H. Night time image defogging based on the theory of retinex and dark channel prior［J］. Laser & Optoelectronics Progress, 2017, 54(4): 041002.

[11] Li Y, Zhang Y F, Li N, et al. Adaptive detail enhancement for infrared image based on subband-decomposed multi-scale retinex［J］. Chinese Journal of Lasers, 2015, 42(5): 0512001.

[12] Jiang X F. Research and application of remoting cloud in sensing image［D］. Nanjing: Nanjing University of Science and Technology, 2007: 20-28.

[13] Li J, Wu J, Chen Z X, et al. Self-learning image super-resolution method based on sparse representation［J］. Chinese Journal of Scientific Instrument, 2015, 36(1): 194-200.

[14] Ju M Y, Zhang D Y. Image enhancement based on prior knowledge and atmospheric scattering model［J］. Acta Electronica Sinica, 2017, 45(5): 1218-1225.

[15] Liu J P, Huang B K, Wei G. A fast effective single image dehazing algorithm［J］. Acta Electronica Sinica, 2017, 45(8): 1896-1901.

[16] Wu D, Zhu Q S. The latest research progress of image dehazing［J］. Acta Automatica Sinica, 2015, 41(2): 221-239.

[17] Li J T, Zhang Y J. Improvements of image haze removal algorithm and its subjective and objective performance evaluation［J］. Optics and Precision Engineering, 2017, 25(3): 735-741.

[18] Sun H H, Yao L, Zhang Q H, et al. Research on images identification method based on neural network［J］. Optical Technique, 2008, 34(S1): 173-174.

[19] Liu X Y, Qiao T, Qiao Z. Image enhancement method of mine based on bilateral filtering and Retinex algorithm［J］. Industry and Mine Automation, 2017, 43(2): 49-54.

[20] Fang S, Zhao Y K, Li X K, et al. Nighttime haze removal based on illumination estimation［J］. Acta Electronica Sinica, 2016, 44(11): 2569-2575.

[21] Wang F P, Wang W X, Yang N, et al. An urban traffic image enhancement method based on modified retinex［J］. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(5): 53-59.