Image compression is an important topic in remote sensing applications such as in memory-constrained or low-bandwidth environments. An evaluation of a machine learning compression framework jointly paired with a super resolution network, to restore compressed images, is performed. Image quality and compression metrics are analyzed against existing techniques.
A Learnable, Super Resolution-Based Framework for Enhancing Compressed Images
15.07.2024
1600007 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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