RGB-NIR Demosaicking Using a Two-Phase Primal-Dual Algorithm with a Laplacian Guided Image Filter Prior

Author(s):  
Wei-Yi Duh ◽  
Yi-Hsien Lin ◽  
Yi-Chang Lu
2017 ◽  
Vol 10 (1) ◽  
pp. 186-204 ◽  
Author(s):  
Federica Sciacchitano ◽  
Yiqiu Dong ◽  
Martin S. Andersen

AbstractWe propose a new two-phase method for reconstruction of blurred images corrupted by impulse noise. In the first phase, we use a noise detector to identify the pixels that are contaminated by noise, and then, in the second phase, we reconstruct the noisy pixels by solving an equality constrained total variation minimization problem that preserves the exact values of the noise-free pixels. For images that are only corrupted by impulse noise (i.e., not blurred) we apply the semismooth Newton's method to a reduced problem, and if the images are also blurred, we solve the equality constrained reconstruction problem using a first-order primal-dual algorithm. The proposed model improves the computational efficiency (in the denoising case) and has the advantage of being regularization parameter-free. Our numerical results suggest that the method is competitive in terms of its restoration capabilities with respect to the other two-phase methods.


2017 ◽  
Vol 77 (11) ◽  
pp. 13513-13530 ◽  
Author(s):  
Bo Jiang ◽  
Hongqi Meng ◽  
Jian Zhao ◽  
Xiaolei Ma ◽  
Siyu Jiang ◽  
...  

2017 ◽  
Vol 77 (3) ◽  
pp. 3125-3141 ◽  
Author(s):  
Bo Jiang ◽  
Hongqi Meng ◽  
Xiaolei Ma ◽  
Lin Wang ◽  
Yan Zhou ◽  
...  

2017 ◽  
Vol 66 (3) ◽  
pp. 139-151
Author(s):  
Khushboo Jain ◽  
Husanbir Singh Pannu ◽  
Kuldeep Singh ◽  
Avleen Malhi

2014 ◽  
Vol 59 (3) ◽  
pp. 405-433 ◽  
Author(s):  
Paul Armand ◽  
Joël Benoist ◽  
Riadh Omheni ◽  
Vincent Pateloup

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