Super-resolution restoration algorithm based on contourlet transform

Author(s):  
Huang Chen Rong ◽  
Tang Jia Li
2012 ◽  
Vol 468-471 ◽  
pp. 1041-1048 ◽  
Author(s):  
Xiao Qin Li ◽  
Kang Ling Fang ◽  
Can Jin

Super-resolution reconstruction for image breaks through the resolution limit of imaging systems without hardware change. The algorithm of projection onto convex set (POCS) is a typical super-resolution reconstruction algorithm in spatial domain. The classical algorithm of POCS lacks the overall constraint for the image, and the convergence rate for iteration is incontrollable. A new super-resolution restoration algorithm for image based on entropy constraint and POCS is proposed in this paper, and experiments with optical and millimeter wave images demonstrate that the new algorithm is effective in improving the precision of super-resolution restoration.


2017 ◽  
Vol 173 (10) ◽  
pp. 5-12
Author(s):  
Sayed A. ◽  
A. S. ◽  
Ayman H. ◽  
A. K.

2009 ◽  
Vol 29 (10) ◽  
pp. 2768-2773
Author(s):  
娄帅 Lou Shuai ◽  
丁振良 Ding Zhenliang ◽  
袁峰 Yuan Feng

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