Browse > Article

이미지 복원을 위한 네트워크 파라미터의 동적 업데이트를 위한 기법  

Kim, Tae-Hyeon (한양대학교)
Publication Information
Broadcasting and Media Magazine / v.25, no.2, 2020 , pp. 27-35 More about this Journal
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-d transform-domain collaborative filtering. IEEE Transactions on Image Processing 16(8), 2080-2095 (2007)   DOI
2 Portilla, J., Strela, V., Wainwright, M.J., Simoncelli, E.P.: Image denoising using scale mixtures of gaussians in the wavelet domain. IEEE Transactions on Image Processing 12(11), 1338-1351 (2003)   DOI
3 Buades, A., Coll, B., Morel, J..: A non-local algorithm for image denoising. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2005)
4 Ehret, T., Davy, A., Morel, J.M., Facciolo, G., Arias, P.: Model-blind video denoising via frame-to-frame training. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
5 Krull, A., Buchholz, T.O., Jug, F.: Noise2void-learning denoising from single noisy images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
6 Lehtinen, J., Munkberg, J., Hasselgren, J., Laine, S., Karras, T., Aittala, M., Aila, T.: Noise2Noise: Learning image restoration without clean data. In: International Conference on Machine Learning (ICML). vol. 80, pp. 2965-2974 (2018)
7 Batson, J., Royer, L.: Noise2self: Blind denoising by self-supervision. In: International Conference on Machine Learning (ICML) (2019)
8 Zhang, K., Zuo, W., Chen, Y., Meng, D., Zhang, L.: Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising. IEEE Transactions on Image Processing 26, 3142-3155 (2017)   DOI
9 Anwar, S., Barnes, N.: Real image denoising with feature attention. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2019)
10 Glasner, D., Bagon, S., Irani, M.: Super-resolution from a single image. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2009)
11 Shocher, A., Cohen, N., Irani, M.: "zero-shot" super-resolution using deep internal learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
12 Anwar,S.,Barnes,N.:Realimagedenoisingwithfeatureattention. In:Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2019)
13 Huang, J.B., Singh, A., Ahuja, N.: Single image super-resolution from transformed self-exemplars. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015)
14 Lefkimmiatis, S.: Non-local color image denoising with convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
15 Liu, D., Wen, B., Fan, Y., Loy, C.C., Huang, T.S.: Non-local recurrent network for image restoration. In: Advances in Neural Information Processing Systems (NIPS) (2018)
16 Zhang, Y., Tian, Y., Kong, Y., Zhong, B., Fu, Y.: Residual dense network for image restoration. CoRR abs/1812.10477 (2018)
17 Zhang, K., Zuo, W., Zhang, L.: Ffdnet: Toward a fast and flexible solution for cnn based image denoising. IEEE Transactions on Image Processing 27, 4608-4622 (2018)   DOI
18 Lee, S., Cho, D., Kim, J., Kim, T.H., Restore from Restored: Single Image Denoising with Pseudo Clean Image. arXiv:2003.04721