Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution.
In content-based image compression, the importance map guides the bit allocation based on its ability to represent the importance of image contents. In this paper, we improve the representational power of importance map using Squeeze-and-Excitation (SE) block, and propose multi-depth struc...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Universidad Internacional de La Rioja (UNIR)
2022-09-01
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| Серія: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Предмети: | |
| Онлайн доступ: | https://www.ijimai.org/index.php/ijimai/article/view/488 |
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