• Optical Instruments
  • Vol. 41, Issue 4, 1 (2019)
ZHU Zhenhao*, HAN Simin, and ZHANG Wei
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1005-5630.2019.04.001 Cite this Article
    ZHU Zhenhao, HAN Simin, ZHANG Wei. Light field multi-decryption image improvement algorithm based on deep learning[J]. Optical Instruments, 2019, 41(4): 1 Copy Citation Text show less
    References

    [2] NG R. Digital light field photography[D]. California: Stanford University, 2006: 38. 39.

    [3] GEORGIEV T G, LUMSDAINE A. Focused plenoptic camera and rendering[J]. Journal of Electronic Imaging, 2010, 19(2): 021106.

    [7] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J]. arXiv: 1409.1556, 2014.

    [10] HAGAN M T, DEMUTH H B, BEALE M H, et al. Neural network design[M]. Beijing: China Machine Press, 2002.

    [11] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[C]//Proceedings of the 25th International Conference on Neural Information Processing Systems. Lake Tahoe, Nevada: ACM, 2012: 1097. 1105.

    [12] SHELHAMER E, LONG J, DARRELL T. Fully convolutional networks for semantic segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(4): 640 – 651.