A MAP regularization super-resolution image reconstruction method based on improved immune algorithm

2013 ◽  
Author(s):  
Hong Lei ◽  
Jianwen Han
Keyword(s):  
Image Reconstruction ◽  
Super Resolution ◽  
Immune Algorithm ◽  
Reconstruction Method ◽  
Resolution Image ◽  
Image Reconstruction Method

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.

scholarly journals Fast Learning-based Super-resolution Image Reconstruction Method Utilizing TV Regularization

2011 ◽  
Vol 65 (11) ◽  
pp. 1621-1627
Author(s):  
Tomio Goto ◽  
Yasutaka Sakuta ◽  
Yuuta Kawamoto ◽  
Satoshi Kiriyama ◽  
Shotaro Suzuki ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Super Resolution ◽  
Reconstruction Method ◽  
Resolution Image ◽  
Fast Learning ◽  
Tv Regularization ◽  
Image Reconstruction Method
Sign in / Sign up

Export Citation Format

Share Document