Content-Based Hyperspectral Image Compression Using a Multi-Depth Weighted Map With Dynamic Receptive Field Convolution

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 structure to re...

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Bibliographic Details
Main Authors: Shaoming Pan, XiaoLin Gu, Yanwen Chong, Yuanyuan Guo
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2022-09-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
compression
dynamic strategy
maps
hyperspectral image
multi-depth
Online Access:https://www.ijimai.org/journal/bibcite/reference/3153

Internet

https://www.ijimai.org/journal/bibcite/reference/3153

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