Cargando…
Adaptive High-Resolution Imaging Method Based on Compressive Sensing
Compressive sensing (CS) is a signal sampling theory that originated about 16 years ago. It replaces expensive and complex receiving devices with well-designed signal recovery algorithms, thus simplifying the imaging system. Based on the application of CS theory, a single-pixel camera with an array-...
Autores principales: | Wang, Zijiao, Gao, Yufeng, Duan, Xiusheng, Cao, Jingya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697710/ https://www.ncbi.nlm.nih.gov/pubmed/36433444 http://dx.doi.org/10.3390/s22228848 |
Ejemplares similares
-
Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing
por: Xu, Miao, et al.
Publicado: (2022) -
Compressed Sensing-Based Super-Resolution Ultrasound Imaging for Faster Acquisition and High Quality Images
por: Kim, Jihun, et al.
Publicado: (2021) -
Adaptive Compressive Sensing of Images Using Spatial Entropy
por: Li, Ran, et al.
Publicado: (2017) -
An Adaptive Rate Blocked Compressive Sensing Method for Video
por: Wang, Jianming, et al.
Publicado: (2021) -
Infrared Image Super Resolution by Combining Compressive Sensing and Deep Learning
por: Zhang, Xudong, et al.
Publicado: (2018)