A Fast Multi-Scale Generative Adversarial Network for Image Compressed Sensing

Recently, deep neural network-based image compressed sensing methods have achieved impressive success in reconstruction quality. However, these methods (1) have limitations in sampling pattern and (2) usually have the disadvantage of high computational complexity. To this end, a fast multi-scale gen...

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Detalles Bibliográficos
Autores principales: Li, Wenzong, Zhu, Aichun, Xu, Yonggang, Yin, Hongsheng, Hua, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222711/
https://www.ncbi.nlm.nih.gov/pubmed/35741496
http://dx.doi.org/10.3390/e24060775

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222711/
https://www.ncbi.nlm.nih.gov/pubmed/35741496
http://dx.doi.org/10.3390/e24060775

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