An improved PET image reconstruction method based on super-resolution

2019 ◽  
Vol 946 ◽  
pp. 162677
Author(s):  
Ying Wang ◽  
Xuezhu Zhang ◽  
Mengxi Zhang ◽  
Dong Liang ◽  
Xin Liu ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Super Resolution ◽  
Reconstruction Method ◽  
Image Reconstruction Method ◽  
Pet Image Reconstruction

Study on Application of Super-Resolution Image Reconstruction Method Used in Video Image Processing

2012 ◽  
Vol 476-478 ◽  
pp. 1142-1145
Author(s):  
Jing Jia Qi ◽  
Chuan Jun Guo ◽  
Yang Nan
Keyword(s):  
Image Reconstruction ◽  
Performance Improvement ◽  
Super Resolution ◽  
Imaging Systems ◽  
Reconstruction Method ◽  
Low Resolution ◽  
Resolution Image ◽  
Image Reconstruction Method ◽  
Significant Performance ◽  
Resolution Imaging

Super resolution image reconstruction is a computational process of using multiple low-resolution observations to reconstruct a higher resolution image, which differs from improvement of optical devices. With magnification diversity among those low-resolution imagers, significant performance improvement, compared to traditional methods, is demonstrated. Results include fidelity metrics and simulated reconstructions. Performance improvement of super-resolution imaging systems with magnification diversity is studied in this paper.

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