과제정보
이 연구는 한국해양대학교 연구년 전임교원 교내 연구비 지원을 받아 수행되었음.
참고문헌
- T. H. Kim and K. M. Lee, "Segmentation-free dynamic scene deblurring," In Computer Vision and Pattern Recognition, pp.2766-2773, 2014.
- K. Orest, B. Volodymyr, M. Mykola, M. Dmytro, and M. Jiri, "DeblurringGAN: Blind motion deblurring using conditional adversarial network," In Computer Vision and Pattern Recognition, 2018.
- J. Sun, W. Cao, Z. Xu, and J. Ponce, "Learning a convolutional neural network for non-uniform motion blur removal," In Computer Vision and Pattern Recognition, 2015.
- A. Chakrabarti, "A Neural Approach to Blind Motion Deblurring," In European Conference on Computer Vision, 2016.
- D. Gong, J. Yang, L, Liu, Y. Zhang, I. Reid, C. Shen, A. Van, and Q. Shi, "From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur," Computer Vision and Pattern Recognition, 2016.
- G. Hongyun, T. Xin, S. Xiaoyong, and J. Jiaya, "Dynamic scene deblurring with parameter selective sharing and nested skip connections," In Institute of Electrical and Electronics Engineers, IEEE, 2019.
- G. Huang, Z. Liu, L. Van, and K. Q. Weinberger, "Densely connected convolutional networks," In Computer Vision and Pattern Recognition, pp.4700-4708, 2017.
- M. Y. Lee, C. H. Son, J. M. Kim, C. H. Lee, and Y. H. Ha, "Illumination-level adaptive and flare compensation for mobile display," Journal of Imaging Science and Technology, Vol.51, No.1, pp.44-52, 2007. https://doi.org/10.2352/J.ImagingSci.Technol.(2007)51:1(44)
- D. Wandell, P. Catrysse, J. Dicarlo, D. Young, and A. E. Gamal, "Multi capture single image with a CMOS sensor," Chiba Conference on Multispectral Imaging, pp.11-17, 1999.
- E. Land and J. McCann, "Lightness and retinex theory," Journal of the Optical Society of America A, Vol.61, No.1, pp.1-11, 1971. https://doi.org/10.1364/JOSA.61.000001
- K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," In Computer Vision and Pattern Recognition, pp.770-778, 2016.
- B. Lim, S. Son, H. Kim. S. Nah, and K. M. Lee, "Enhanced deep residual networks for single image super-resolution," In Computer Vision and Pattern Recognition Workshop, 2017.
- S. Nah, T. H. Kim, and K. M. Lee, "Deep multi-scale convolutional neural network for dynamic scene deblurring," In Computer Vision and Pattern Recognition, pp.3883-3891, 2017.
- T. Xin, G. Hongyun, S. Xiaoyong, W. Jue, and J. Jiaya, "Scale-recurrent network for deep image deblurring," In Computer Vision and Pattern Recognition, pp.8174-8182, 2018.
- D. Sourya and D. Saikat, "Fast deep multi-patch hierarchical network for non-homogeneous image dehazing," In Computer Vision and Pattern Recognition Workshop, 2020.
- C. R. Park, J. H. Kim, and S. J. Cho, "Improving colorization through denoiser with MLP," In Journal of Advanced Marine Engineering and Technology, pp.1-7, 2022.
- DICM Detaset [Internet], paperswithcode.com/dataset/dicm
- ExDark Dataset [Internet], paperswithcode.com/dataset/exdark
- VV Dataset [Internet], sites.google.com/site/vonikakis/datasets
- G. Tiantong, L. Xuelu, C. Venkateswararao, and M. Vishal, "Dense scene information estimation network for dehazing," In Computer Vision and Pattern Recognition, 2019.
- H. Zhang, Y. Dai, H. Li, and P. Koniusz, "Deep stacked hierarchical multi-patch network for image deblurring," In Computer Vision and Pattern Recognition, pp.5578-5986, 2019.
- C. R. Park, K. I. Lee, and S. J. Cho, "Retinex image enhancement techniques using stack-attention," In Korea Information Processing Society, Vol.29, No.1, pp.443-445, 2022.