Non-linear Image Recovery from a Single Frame Super Resolution Using Pearson Type VII Density

2011 ◽  
pp. 295-307
Author(s):  
Sakinah Ali Pitchay
Keyword(s):  
Super Resolution ◽  
Image Recovery ◽  
Single Frame ◽  
Pearson Type ◽  
Non Linear

Single-frame image recovery using a Pearson type VII MRF

2012 ◽  
Vol 80 ◽  
pp. 111-118 ◽  
Author(s):  
Ata Kabán ◽  
Sakinah Ali Pitchay
Keyword(s):  
Image Recovery ◽  
Single Frame ◽  
Pearson Type

scholarly journals Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting

Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1836 ◽  
Author(s):  
Xiwei Huang ◽  
Yu Jiang ◽  
Xu Liu ◽  
Hang Xu ◽  
Zhi Han ◽  
...  
Keyword(s):  
Machine Learning ◽  
Blood Cell ◽  
Super Resolution ◽  
Cell Counting ◽  
Single Frame ◽  
Blood Cell Counting

scholarly journals Controlling the non-linear emission of upconversion nanoparticles to enhance super-resolution imaging performance

Nanoscale ◽  
2020 ◽  
Vol 12 (39) ◽  
pp. 20347-20355
Author(s):  
Simone De Camillis ◽  
Peng Ren ◽  
Yueying Cao ◽  
Martin Plöschner ◽  
Denitza Denkova ◽  
...  
Keyword(s):  
Super Resolution ◽  
Upconversion Nanoparticles ◽  
Non Linear ◽  
Resolution Imaging ◽  
Imaging Performance ◽  
Luminescence Characteristics

Convenient design of fully Yb-based upconversion nanoparticles enables control of their luminescence characteristics and enhances super-resolution imaging performance.

Video super resolution using non-linear regression and deep learning

2019 ◽  
Vol 67 (6) ◽  
pp. 305-318
Author(s):  
R. Sudhakar ◽  
P.V. Venkateswara Rao
Keyword(s):  
Deep Learning ◽  
Linear Regression ◽  
Super Resolution ◽  
Non Linear
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