Abstract
High dynamic range imaging has recently become a technological trend, with numerous attempts to reconstruct HDR images and videos from low-dynamic-range data. The reconstruction of light field images is analogous to the reconstruction of HDR videos, within which consecutive frames are temporally coherent. For light field images, many similarities exist between the adjacent views, since they visualize the same scene from different angular perspectives. In this paper, we investigate the theoretical possibilities of combining CNN architectures utilized for HDR images and videos in order to enhance the outputs of HDR light field image reconstruction.
| Original language | English |
|---|---|
| Title of host publication | Published in: Proceedings Volume 12097, Big Data IV: Learning, Analytics, and Applications; (2022), ISSN 0277-786X, ISBN 9781510650701, article no. 120970M. Organising Body: SPIE Organising Body: SPIE |
| DOIs | |
| Publication status | Published - 4 Apr 2022 |
| Externally published | Yes |
Bibliographical note
Note: Published in: Proceedings Volume 12097, Big Data IV: Learning, Analytics, and Applications; (2022), ISSN 0277-786X,ISBN 9781510650701, article no. 120970M.
Organising Body: SPIE
Organising Body: SPIE
Keywords
- Computer science and informatics
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Dive into the research topics of 'Towards reconstructing HDR light fields by combining 2D and 3D CNN architectures'. Together they form a unique fingerprint.Research output
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Towards reconstructing HDR light fields by combining 2D and 3D CNN architectures
Guindy, M., Adhikarla, V. K., Kara, P. A., Balogh, T. & Simon, A., 4 Apr 2022.Research output: Contribution to conference › Paper › peer-review
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