Please use this identifier to cite or link to this item:
https://repository.cihe.edu.hk/jspui/handle/cihe/4116
Title: | Semantic-embedded unsupervised spectral reconstruction from Single RGB images in the wild |
Author(s): | Liu, Hui |
Author(s): | Zhu, Z. Hou, J. Zeng, H. Zhang, Q. |
Issue Date: | 2021 |
Publisher: | IEEE |
Related Publication(s): | Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021 |
Start page: | 2279 |
End page: | 2288 |
Abstract: | This paper investigates the problem of reconstructing hyperspectral (HS) images from single RGB images captured by commercial cameras, without using paired HS and RGB images during training. To tackle this challenge, we propose a new lightweight and end-to-end learning-based framework. Specifically, on the basis of the intrinsic imaging degradation model of RGB images from HS images, we progressiv... |
URI: | https://repository.cihe.edu.hk/jspui/handle/cihe/4116 |
CIHE Affiliated Publication: | No |
Appears in Collections: | CIS Publication |
Files in This Item:
File | Description | Size | Format | |
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View Online | 210 B | HTML | View/Open |

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