基于改进的区域积神经网络和联合双边滤波的图像着色法
何山, 方利, 张政. 基于改进的区域积神经网络和联合双边滤波的图像着色法[J]. 激光与光电子学进展, 2020, 57(12): 121006.
何山, 方利, 张政. Image Coloring Method Based on Improved Regional Full Convolutional Neural Network and Joint Bilateral Filtering[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121006.
[1] . Colorization using neural network ensemble[J]. IEEE Transactions on Image Processing, 2017, 26(11): 5491-5505.
[2] . Colorization using optimization[J]. ACM Transactions on Graphics, 2004, 23(3): 689-691.
[3] . Fast image and video colorization using chrominance blending[J]. IEEE Transactions on Image Processing, 2006, 15(5): 1120-1129.
[4] LuanQ, WenF, DanielC, et al. Natural image colorization[C]∥Proceedings of the 18th Eurographics conference on Rendering Techniques. [S.l.: s.n.], 2007: 309- 320.
[5] . Transferring color to greyscale images[J]. ACM Transactions on Graphics (TOG), 2002, 21(3): 277-280.
[6] Cheng ZZ, Yang QX, ShengB. Deep colorization[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015: 415- 423.
[7] . Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification[J]. ACM Transactions on Graphics, 2016, 35(4): 110.
[8] LarssonG, MaireM, ShakhnarovichG. Learning representations for automatic colorization[M] ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9908: 577- 593.
[9] ZhangR, IsolaP, Efros AA. Colorful image colorization[M] ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 2016, 9907: 649- 666.
[10] HuangG, Liu Z, van der Maaten L, et al. Densely connected convolutional networks[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI. New York: IEEE, 2017: 2261- 2269.
[11] DaiJ, LiY, HeK, et al. R-FCN: object detection via region-based fully convolution networks[C]∥Proceedings of the 30th International Conference on Neural Information Processing Systems, December 5-10, 2016, Barcelona, Spain. New York: Curran Associates Inc, 2016: 379- 387.
[12] . 基于区域全卷积网络结合残差网络的火焰检测方法[J]. 激光与光电子学进展, 2018, 55(4): 041011.
[13] . 基于积神经网络的图像着色方法研究[J]. 电脑知识与技术, 2019, 15(6): 198-200.
. Research on image coloring method based on convolutional neural network[J]. Computer Knowledge and Technology, 2019, 15(6): 198-200.
[14] . 基于多尺度特征提取和全连接条件随机场的图像语义分割方法[J]. 激光与光电子学进展, 2019, 56(13): 131007.
[15] , 等. 基于深度学习的语义分割问题研究综述[J]. 激光与光电子学进展, 2019, 56(15): 150003.
[16] TomasiC, ManduchiR. Bilateral filtering for gray and color images[C]∥Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), January 7, 1998, Bombay, India. New York: IEEE, 1998: 839- 846.
[17] Gonzalez RC, Woods RE. 数字图像处理[M]. 阮秋琦, 阮宇智, 译. 3版. 北京: 电子工业出版社, 2003: 222- 223.
Gonzalez RC, Woods RE. Digital image processing[M]. Ruan Q Q, Ruan Y Z, Transl. 3th ed. Beijing: Electronic Industry Press, 2003: 222- 223.
何山, 方利, 张政. 基于改进的区域积神经网络和联合双边滤波的图像着色法[J]. 激光与光电子学进展, 2020, 57(12): 121006. 何山, 方利, 张政. Image Coloring Method Based on Improved Regional Full Convolutional Neural Network and Joint Bilateral Filtering[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121006.