基于双通道循环生成对抗网络的无人车夜视红外视频彩色化 下载: 645次
[1] 高凯珺, 孙韶媛, 姚广顺, 等. 基于深度学习的无人车夜视图像语义分割[J]. 应用光学, 2017, 38(3): 421-428.
[2] 朱黎博, 孙韶媛, 谷小婧, 等. 基于色彩传递与扩展的图像着色算法[J]. 中国图象图形学报, 2010, 15(2): 200-205.
Zhu L B, Sun S Y, Gu X J, et al. Image colorization based on color transfer and propagation[J]. Journal of Image and Graphics, 2010, 15(2): 200-205.
[3] 代中华, 孙韶媛, 许真, 等. 一种车载红外视频彩色化算法[J]. 红外技术, 2010, 32(10): 595-600.
[4] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.
[5] Weyrich N, Warhola G T. Wavelet shrinkage and generalized cross validation for image denoising[J]. IEEE Transactions on Image Processing, 1998, 7(1): 82-90.
[6] 谯帅, 孙韶媛, 谷小婧, 等. 基于轮廓跟踪的车载红外视频彩色化方法[J]. 应用光学, 2012, 33(4): 727-732.
[7] Gu X, Sun S, Fang J, et al. Kernel based color estimation for night vision imagery[J]. Optics Communications, 2012, 285(7): 1697-1703.
[8] GoodfellowI J, Pougetabadie J, Mirza M, et al. Generative adversarial networks[J]. Advances in Neural Information Processing Systems, 2014, 3: 2672-2680.
[9] Isola P, Zhu J Y, Zhou T, et al. Image-to-image translation with conditional adversarial networks[EB/OL]. (2017-11-22)[2018-03-01]. https:∥arxiv.org/abs/1611.07004.
[10] Zhu J Y, Park T, Isola P, et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[EB/OL]. (2018-02-19)[2018-03-01]. https:∥arxiv.org/abs/1703.10593.
[11] 姚广顺, 孙韶媛, 方建安, 等. 基于红外与雷达的夜间无人车场景深度估计[J]. 激光与光电子学进展, 2017, 54(12): 121003.
[12] 吴寿川, 赵海涛, 孙韶媛. 基于双向递归卷积神经网络的单目红外视频深度估计[J]. 光学学报, 2017, 37(12): 1215003.
[13] 李泽标, 郭超, 赵鹏飞, 等. 高功率光纤激光器中反向抽运结构对模式不稳定的抑制[J]. 中国激光, 2017, 44(8): 0801010.
[14] Pal N R. On minimum cross-entropy thresholding[J]. Pattern Recognition, 1996, 29(4): 575-580
李佳豪, 孙韶媛, 吴雪平, 李大威. 基于双通道循环生成对抗网络的无人车夜视红外视频彩色化[J]. 激光与光电子学进展, 2018, 55(9): 091505. Li Jiahao, Sun Shaoyuan, Wu Xueping, Li Dawei. Unmanned Vehicle Night Infrared Video Colorization Based on Dual-Channel Cycle-Consistent Adversarial Networks[J]. Laser & Optoelectronics Progress, 2018, 55(9): 091505.