EnGe-CSNet: A Trainable Image Compressed Sensing Model Based on Variational Encoder and Generative Networks
The present study primarily investigates the topic of image reconstruction at high compression rates. As proven from compressed sensing theory, an appropriate algorithm is capable of reconstructing natural images from a few measurements since they are sparse in several transform domains (e.g., Discr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/10/9/1089 |