Predictive Filter Flow Network for Universal Demosaicking
Author:
Affiliation:
1. Graduate School of Engineering, Tamagawa University
2. Department of Electrical and Electronic Engineering, Chukyo University
Publisher
Research Institute of Signal Processing, Japan
Link
https://www.jstage.jst.go.jp/article/jsp/25/6/25_257/_pdf
Reference9 articles.
1. [1] R. Ramanath, W. E. Snyder, G. L. Bilbro and W. A. Sander III: Demosaicking methods for Bayer color arrays, Journal of Electronic Imaging, Vol. 11, No. 3, pp. 306–316, 2002.
2. [2] S. Kong and C. Fowlkes: Image reconstruction with predictive filter flow, arXiv:18 11.11482, 2018.
3. [3] S. M. Seitz and S. Baker: Filter flow, Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 143–150, 2009.
4. [4] D. P. Kingma and J. Ba: Adam: A method for stochastic optimization, arXiv:1412.6980v9, 2017.
5. [5] Y. Zhang, K. Li, K. Li, L. Wang, B. Zhong and Y. Fu: Image super-resolution using very deep residual channel attention networks, Proc. European Conference on Computer Vision, pp. 286–301, 2018.
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